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  • ShapeAssembly: Learning to Generate Programs for 3D Shape Structure Synthesis
    arXiv.cs.GR Pub Date : 2020-09-17
    R. Kenny Jones; Theresa Barton; Xianghao Xu; Kai Wang; Ellen Jiang; Paul Guerrero; Niloy J. Mitra; Daniel Ritchie

    Manually authoring 3D shapes is difficult and time consuming; generative models of 3D shapes offer compelling alternatives. Procedural representations are one such possibility: they offer high-quality and editable results but are difficult to author and often produce outputs with limited diversity. On the other extreme are deep generative models: given enough data, they can learn to generate any class

    更新日期:2020-09-20
  • Efficient conformal parameterization of multiply-connected surfaces using quasi-conformal theory
    arXiv.cs.GR Pub Date : 2020-09-10
    Gary P. T. Choi

    Conformal mapping, a classical topic in complex analysis and differential geometry, has become a subject of great interest in the area of surface parameterization in recent decades with various applications in science and engineering. However, most of the existing conformal parameterization algorithms only focus on simply-connected surfaces and cannot be directly applied to surfaces with holes. In

    更新日期:2020-09-20
  • Layered Neural Rendering for Retiming People in Video
    arXiv.cs.GR Pub Date : 2020-09-16
    Erika Lu; Forrester Cole; Tali Dekel; Weidi Xie; Andrew Zisserman; David Salesin; William T. Freeman; Michael Rubinstein

    We present a method for retiming people in an ordinary, natural video---manipulating and editing the time in which different motions of individuals in the video occur. We can temporally align different motions, change the speed of certain actions (speeding up/slowing down, or entirely "freezing" people), or "erase" selected people from the video altogether. We achieve these effects computationally

    更新日期:2020-09-18
  • Related by Similarity II: Poncelet 3-Periodics in the Homothetic Pair and the Brocard Porism
    arXiv.cs.GR Pub Date : 2020-09-16
    Dan Reznik; Ronaldo Garcia

    Previously we showed the family of 3-periodics in the elliptic billiard (confocal pair) is the image under a variable similarity transform of poristic triangles (those with non-concentric, fixed incircle and circumcircle). Both families conserve the ratio of inradius to circumradius and therefore also the sum of cosines. This is consisten with the fact that a similarity preserves angles. Here we study

    更新日期:2020-09-18
  • BOP Challenge 2020 on 6D Object Localization
    arXiv.cs.GR Pub Date : 2020-09-15
    Tomas Hodan; Martin Sundermeyer; Bertram Drost; Yann Labbe; Eric Brachmann; Frank Michel; Carsten Rother; Jiri Matas

    This paper presents the evaluation methodology, datasets, and results of the BOP Challenge 2020, the third in a series of public competitions organized with the goal to capture the status quo in the field of 6D object pose estimation from an RGB-D image. In 2020, to reduce the domain gap between synthetic training and real test RGB images, the participants were provided 350K photorealistic trainining

    更新日期:2020-09-18
  • Smoothed Particle Hydrodynamics Techniques for the Physics Based Simulation of Fluids and Solids
    arXiv.cs.GR Pub Date : 2020-09-15
    Dan Koschier; Jan Bender; Barbara Solenthaler; Matthias Teschner

    Graphics research on Smoothed Particle Hydrodynamics (SPH) has produced fantastic visual results that are unique across the board of research communities concerned with SPH simulations. Generally, the SPH formalism serves as a spatial discretization technique, commonly used for the numerical simulation of continuum mechanical problems such as the simulation of fluids, highly viscous materials, and

    更新日期:2020-09-16
  • Old Photo Restoration via Deep Latent Space Translation
    arXiv.cs.GR Pub Date : 2020-09-14
    Ziyu Wan; Bo Zhang; Dongdong Chen; Pan Zhang; Dong Chen; Jing Liao; Fang Wen

    We propose to restore old photos that suffer from severe degradation through a deep learning approach. Unlike conventional restoration tasks that can be solved through supervised learning, the degradation in real photos is complex and the domain gap between synthetic images and real old photos makes the network fail to generalize. Therefore, we propose a novel triplet domain translation network by

    更新日期:2020-09-16
  • Interactive Focus+Context Rendering for Hexahedral Mesh Inspection
    arXiv.cs.GR Pub Date : 2020-09-14
    Christoph Neuhauser; Junpeng Wang; Rüdiger Westermann

    The visual inspection of a hexahedral mesh with respect to element quality is difficult due to clutter and occlusions that are produced when rendering all element faces or their edges simultaneously. Current approaches overcome this problem by using focus on specific elements that are then rendered opaque, and carving away all elements occluding their view. In this work, we make use of advanced GPU

    更新日期:2020-09-15
  • Data-Driven Space-Filling Curves
    arXiv.cs.GR Pub Date : 2020-09-14
    Liang Zhou; Chris R. Johnson; Daniel Weiskopf

    We propose a data-driven space-filling curve method for 2D and 3D visualization. Our flexible curve traverses the data elements in the spatial domain in a way that the resulting linearization better preserves features in space compared to existing methods. We achieve such data coherency by calculating a Hamiltonian path that approximately minimizes an objective function that describes the similarity

    更新日期:2020-09-15
  • VC-Net: Deep Volume-Composition Networks for Segmentation and Visualization of Highly Sparse and Noisy Image Data
    arXiv.cs.GR Pub Date : 2020-09-14
    Yifan Wang; Guoli Yan; Haikuan Zhu; Sagar Buch; Ying Wang; Ewart Mark Haacke; Jing Hua; Zichun Zhong

    The motivation of our work is to present a new visualization-guided computing paradigm to combine direct 3D volume processing and volume rendered clues for effective 3D exploration such as extracting and visualizing microstructures in-vivo. However, it is still challenging to extract and visualize high fidelity 3D vessel structure due to its high sparseness, noisiness, and complex topology variations

    更新日期:2020-09-15
  • Deep intrinsic decomposition trained on surreal scenes yet with realistic light effects
    arXiv.cs.GR Pub Date : 2020-09-14
    Hassan Sial; Ramon Baldrich; Maria Vanrell

    Estimation of intrinsic images still remains a challenging task due to weaknesses of ground-truth datasets, which either are too small or present non-realistic issues. On the other hand, end-to-end deep learning architectures start to achieve interesting results that we believe could be improved if important physical hints were not ignored. In this work, we present a twofold framework: (a) a flexible

    更新日期:2020-09-15
  • Attribute-conditioned Layout GAN for Automatic Graphic Design
    arXiv.cs.GR Pub Date : 2020-09-11
    Jianan Li; Jimei Yang; Jianming Zhang; Chang Liu; Christina Wang; Tingfa Xu

    Modeling layout is an important first step for graphic design. Recently, methods for generating graphic layouts have progressed, particularly with Generative Adversarial Networks (GANs). However, the problem of specifying the locations and sizes of design elements usually involves constraints with respect to element attributes, such as area, aspect ratio and reading-order. Automating attribute conditional

    更新日期:2020-09-14
  • Sketch2CAD: Sequential CAD Modeling by Sketching in Context
    arXiv.cs.GR Pub Date : 2020-09-10
    Changjian Li; Hao Pan; Adrien Bousseau; Niloy J. Mitra

    We present a sketch-based CAD modeling system, where users create objects incrementally by sketching the desired shape edits, which our system automatically translates to CAD operations. Our approach is motivated by the close similarities between the steps industrial designers follow to draw 3D shapes, and the operations CAD modeling systems offer to create similar shapes. To overcome the strong ambiguity

    更新日期:2020-09-11
  • Mode Surfaces of Symmetric Tensor Fields: Topological Analysis and Seamless Extraction
    arXiv.cs.GR Pub Date : 2020-09-09
    Botong Qu; Lawrence Roy; Yue Zhang; Eugene Zhang

    Mode surfaces are the generalization of degenerate curves and neutral surfaces, which constitute 3D symmetric tensor field topology. Efficient analysis and visualization of mode surfaces can provide additional insight into not only degenerate curves and neutral surfaces, but also how these features transition into each other. Moreover, the geometry and topology of mode surfaces can help domain scientists

    更新日期:2020-09-11
  • A Framework for Evaluating Dashboards in Healthcare
    arXiv.cs.GR Pub Date : 2020-09-10
    Mengdie Zhuang; Dave Concannon; Ed Manley

    In the era of "information overload", effective information provision is essential for enabling rapid response and critical decision making. In making sense of diverse information sources, data dashboards have become an indispensable tool, providing fast, effective, adaptable, and personalized access to information for professionals and the general public alike. However, these objectives place a heavy

    更新日期:2020-09-11
  • Fully Convolutional Graph Neural Networks for Parametric Virtual Try-On
    arXiv.cs.GR Pub Date : 2020-09-09
    Raquel Vidaurre; Igor Santesteban; Elena Garces; Dan Casas

    We present a learning-based approach for virtual try-on applications based on a fully convolutional graph neural network. In contrast to existing data-driven models, which are trained for a specific garment or mesh topology, our fully convolutional model can cope with a large family of garments, represented as parametric predefined 2D panels with arbitrary mesh topology, including long dresses, shirts

    更新日期:2020-09-11
  • Uncertain Transport in Unsteady Flows
    arXiv.cs.GR Pub Date : 2020-08-30
    Tobias Rapp; Carsten Dachsbacher

    We study uncertainty in the dynamics of time-dependent flows by identifying barriers and enhancers to stochastic transport. This topological segmentation is closely related to the theory of Lagrangian coherent structures and is based on a recently introduced quantity, the diffusion barrier strength (DBS). The DBS is defined similar to the finite-time Lyapunov exponent (FTLE), but incorporates diffusion

    更新日期:2020-09-11
  • Deterministic Linear Time Constrained Triangulation using Simplified Earcut
    arXiv.cs.GR Pub Date : 2020-09-09
    Marco Livesu; Gianmarco Cherchi; Riccardo Scateni; Marco Attene

    Triangulation algorithms that conform to a set of non-intersecting input segments typically proceed in an incremental fashion, by inserting points first, and then segments. Inserting a segment amounts to delete all the triangles it intersects, define two polygons that fill the so generated hole and have the segment as shared basis, and then re-triangulate each polygon separately. In this paper we prove

    更新日期:2020-09-10
  • MU-GAN: Facial Attribute Editing based on Multi-attention Mechanism
    arXiv.cs.GR Pub Date : 2020-09-09
    Ke Zhang; Yukun Su; Xiwang Guo; Liang Qi; Zhenbing Zhao

    Facial attribute editing has mainly two objectives: 1) translating image from a source domain to a target one, and 2) only changing the facial regions related to a target attribute and preserving the attribute-excluding details. In this work, we propose a Multi-attention U-Net-based Generative Adversarial Network (MU-GAN). First, we replace a classic convolutional encoder-decoder with a symmetric U-Net-like

    更新日期:2020-09-10
  • GPU Parallel Computation of Morse-Smale Complexes
    arXiv.cs.GR Pub Date : 2020-09-08
    Varshini Subhash; Karran Pandey; Vijay Natarajan

    The Morse-Smale complex is a well studied topological structure that represents the gradient flow behavior of a scalar function. It supports multi-scale topological analysis and visualization of large scientific data. Its computation poses significant algorithmic challenges when considering large scale data and increased feature complexity. Several parallel algorithms have been proposed towards the

    更新日期:2020-09-10
  • Computational Design of Cold Bent Glass Façades
    arXiv.cs.GR Pub Date : 2020-09-08
    Konstantinos Gavriil; Ruslan Guseinov; Jesús Pérez; Davide Pellis; Paul Henderson; Florian Rist; Helmut Pottmann; Bernd Bickel

    Cold bent glass is a promising and cost-efficient method for realizing doubly curved glass fa\c{c}ades. They are produced by attaching planar glass sheets to curved frames and require keeping the occurring stress within safe limits. However, it is very challenging to navigate the design space of cold bent glass panels due to the fragility of the material, which impedes the form-finding for practically

    更新日期:2020-09-10
  • A Fast Parametric Ellipse Algorithm
    arXiv.cs.GR Pub Date : 2020-09-07
    Jerry R. Van Aken

    This paper describes a 2-D graphics algorithm that uses shifts and adds to precisely plot a series of points on an ellipse of any shape and orientation. The algorithm can also plot an elliptic arc that starts and ends at arbitrary angles. The ellipse algorithm described here is largely based on earlier papers by Van Aken and Simar [1,2], which extend Marvin Minsky's well-known circle algorithm [3,4

    更新日期:2020-09-10
  • Improving Engagement of Animated Visualization with Visual Foreshadowing
    arXiv.cs.GR Pub Date : 2020-09-08
    Wenchao Li; Yun Wang; Haidong Zhang; Huamin Qu

    Animated visualization is becoming increasingly popular as a compelling way to illustrate changes in time series data. However, maintaining the viewer's focus throughout the entire animation is difficult because of its time-consuming nature. Viewers are likely to become bored and distracted during the ever-changing animated visualization. Informed by the role of foreshadowing that builds the expectation

    更新日期:2020-09-10
  • Responsive Matrix Cells: A Focus+Context Approach for Exploring and Editing Multivariate Graphs
    arXiv.cs.GR Pub Date : 2020-09-07
    Tom Horak; Philip Berger; Heidrun Schumann; Raimund Dachselt; Christian Tominski

    Matrix visualizations are a useful tool to provide a general overview of a graph's structure. For multivariate graphs, a remaining challenge is to cope with the attributes that are associated with nodes and edges. Addressing this challenge, we propose responsive matrix cells as a focus+context approach for embedding additional interactive views into a matrix. Responsive matrix cells are local zoomable

    更新日期:2020-09-10
  • Interactive Visualization of Terascale Data in the Browser: Fact or Fiction?
    arXiv.cs.GR Pub Date : 2020-09-07
    Will Usher; Valerio Pascucci

    Information visualization applications have become ubiquitous, in no small part thanks to the ease of wide distribution and deployment to users enabled by the web browser. Scientific visualization applications, relying on native code libraries and parallel processing, have been less suited to such widespread distribution, as browsers do not provide the required libraries or compute capabilities. In

    更新日期:2020-09-08
  • Ray Tracing Structured AMR Data Using ExaBricks
    arXiv.cs.GR Pub Date : 2020-09-07
    Ingo Wald; Stefan Zellmann; Will Usher; Nate Morrical; Ulrich Lang; Valerio Pascucci

    Structured Adaptive Mesh Refinement (Structured AMR) enables simulations to adapt the domain resolution to save computation and storage, and has become one of the dominant data representations used by scientific simulations; however, efficiently rendering such data remains a challenge. We present an efficient approach for volume- and iso-surface ray tracing of Structured AMR data on GPU-equipped workstations

    更新日期:2020-09-08
  • Nonlinear Spectral Geometry Processing via the TV Transform
    arXiv.cs.GR Pub Date : 2020-09-07
    Marco Fumero; Michael Moeller; Emanuele Rodolà

    We introduce a novel computational framework for digital geometry processing, based upon the derivation of a nonlinear operator associated to the total variation functional. Such operator admits a generalized notion of spectral decomposition, yielding a sparse multiscale representation akin to Laplacian-based methods, while at the same time avoiding undesirable over-smoothing effects typical of such

    更新日期:2020-09-08
  • Palettailor: Discriminable Colorization for Categorical Data
    arXiv.cs.GR Pub Date : 2020-09-07
    Kecheng Lu; Mi Feng; Xin Chen; Michael Sedlmair; Oliver Deussen; Dani Lischinski; Zhanglin Cheng; Yunhai Wang

    We present an integrated approach for creating and assigning color palettes to different visualizations such as multi-class scatterplots, line, and bar charts. While other methods separate the creation of colors from their assignment, our approach takes data characteristics into account to produce color palettes, which are then assigned in a way that fosters better visual discrimination of classes

    更新日期:2020-09-08
  • The Mixture Graph-A Data Structure for Compressing, Rendering, and Querying Segmentation Histograms
    arXiv.cs.GR Pub Date : 2020-09-06
    Khaled Al-Thelaya; Marco Agus; Jens Schneider

    In this paper, we present a novel data structure, called the Mixture Graph. This data structure allows us to compress, render, and query segmentation histograms. Such histograms arise when building a mipmap of a volume containing segmentation IDs. Each voxel in the histogram mipmap contains a convex combination (mixture) of segmentation IDs. Each mixture represents the distribution of IDs in the respective

    更新日期:2020-09-08
  • Length-optimal tool path planning for freeform surfaces with preferred feed directions
    arXiv.cs.GR Pub Date : 2020-09-06
    Qiang Zou; Charlie C. L. Wang; Hsi-Yung Feng

    This paper presents a new method to generate tool paths for machining freeform surfaces represented either as parametric surfaces or as triangular meshes. This method allows for the optimal tradeoff between the preferred feed direction field and the constant scallop height, and yields a minimized overall path length. The optimality is achieved by formulating tool path planning as a Poisson problem

    更新日期:2020-09-08
  • A curvature and density-based generative representation of shapes
    arXiv.cs.GR Pub Date : 2020-09-05
    Zi Ye; Nobuyuki Umetani; Takeo Igarashi; Tim Hoffmann

    This paper introduces a generative model for 3D surfaces based on a representation of shapes with mean curvature and metric, which are invariant under rigid transformation. Hence, compared with existing 3D machine learning frameworks, our model substantially reduces the influence of translation and rotation. In addition, the local structure of shapes will be more precisely captured, since the curvature

    更新日期:2020-09-08
  • Trimmed Spline Surfaces with Accurate Boundary Control
    arXiv.cs.GR Pub Date : 2020-09-05
    Florian Martin; Ulrich Reif

    We introduce trimmed NURBS surfaces with accurate boundary control, briefly called ABC-surfaces, as a solution to the notorious problem of constructing watertight or smooth ($G^1$ and $G^2)$ multi-patch surfaces within the function range of standard CAD/CAM systems and the associated file exchange formats. Our construction is based on the appropriate blend of a base surface, which traces out the intended

    更新日期:2020-09-08
  • Improved Modeling of 3D Shapes with Multi-view Depth Maps
    arXiv.cs.GR Pub Date : 2020-09-07
    Kamal Gupta; Susmija Jabbireddy; Ketul Shah; Abhinav Shrivastava; Matthias Zwicker

    We present a simple yet effective general-purpose framework for modeling 3D shapes by leveraging recent advances in 2D image generation using CNNs. Using just a single depth image of the object, we can output a dense multi-view depth map representation of 3D objects. Our simple encoder-decoder framework, comprised of a novel identity encoder and class-conditional viewpoint generator, generates 3D consistent

    更新日期:2020-09-08
  • Implicit Multidimensional Projection of Local Subspaces
    arXiv.cs.GR Pub Date : 2020-09-07
    Rongzheng Bian; Yumeng Xue; Liang Zhou; Jian Zhang; Baoquan Chen; Daniel Weiskopf; Yunhai Wang

    We propose a visualization method to understand the effect of multidimensional projection on local subspaces, using implicit function differentiation. Here, we understand the local subspace as the multidimensional local neighborhood of data points. Existing methods focus on the projection of multidimensional data points, and the neighborhood information is ignored. Our method is able to analyze the

    更新日期:2020-09-08
  • Complementary Dynamics
    arXiv.cs.GR Pub Date : 2020-09-05
    Jiayi Eris Zhang; Seungbae Bang; David I. W. Levin; Alec Jacobson

    We present a novel approach to enrich arbitrary rig animations with elastodynamic secondary effects. Unlike previous methods which pit rig displacements and physical forces as adversaries against each other, we advocate that physics should complement artists intentions. We propose optimizing for elastodynamic displacements in the subspace orthogonal to displacements that can be created by the rig.

    更新日期:2020-09-08
  • Area-Invariant Pedal-Like Curves Derived from the Ellipse
    arXiv.cs.GR Pub Date : 2020-09-05
    Dan Reznik; Ronaldo Garcia; Hellmuth Stachel

    We study six pedal-like curves associated with the ellipse which are area-invariant for pedal points lying on one of two shapes: (i) a circle concentric with the ellipse, or (ii) the ellipse boundary itself. Case (i) is a corollary to properties of the Curvature Centroid (Kr\"ummungs-Schwerpunkt) of a curve, proved by Steiner in 1825. For case (ii) we prove area invariance algebraically. Explicit expressions

    更新日期:2020-09-08
  • Chordal Decomposition for Spectral Coarsening
    arXiv.cs.GR Pub Date : 2020-09-04
    Honglin Chen; Hsueh-Ti Derek Liu; Alec Jacobson; David I. W. Levin

    We introduce a novel solver to significantly reduce the size of a geometric operator while preserving its spectral properties at the lowest frequencies. We use chordal decomposition to formulate a convex optimization problem which allows the user to control the operator sparsity pattern. This allows for a trade-off between the spectral accuracy of the operator and the cost of its application. We efficiently

    更新日期:2020-09-08
  • SketchPatch: Sketch Stylization via Seamless Patch-level Synthesis
    arXiv.cs.GR Pub Date : 2020-09-04
    Noa Fish; Lilach Perry; Amit Bermano; Daniel Cohen-Or

    The paradigm of image-to-image translation is leveraged for the benefit of sketch stylization via transfer of geometric textural details. Lacking the necessary volumes of data for standard training of translation systems, we advocate for operation at the patch level, where a handful of stylized sketches provide ample mining potential for patches featuring basic geometric primitives. Operating at the

    更新日期:2020-09-08
  • Speech Gesture Generation from the Trimodal Context of Text, Audio, and Speaker Identity
    arXiv.cs.GR Pub Date : 2020-09-04
    Youngwoo Yoon; Bok Cha; Joo-Haeng Lee; Minsu Jang; Jaeyeon Lee; Jaehong Kim; Geehyuk Lee

    For human-like agents, including virtual avatars and social robots, making proper gestures while speaking is crucial in human--agent interaction. Co-speech gestures enhance interaction experiences and make the agents look alive. However, it is difficult to generate human-like gestures due to the lack of understanding of how people gesture. Data-driven approaches attempt to learn gesticulation skills

    更新日期:2020-09-08
  • Improving the Usability of Virtual Reality Neuron Tracing with Topological Elements
    arXiv.cs.GR Pub Date : 2020-09-03
    Torin McDonald; Will Usher; Nate Morrical; Attila Gyulassy; Steve Petruzza; Frederick Federer; Alessandra Angelucci; Valerio Pascucci

    Researchers in the field of connectomics are working to reconstruct a map of neural connections in the brain in order to understand at a fundamental level how the brain processes information. Constructing this wiring diagram is done by tracing neurons through high-resolution image stacks acquired with fluorescence microscopy imaging techniques. While a large number of automatic tracing algorithms have

    更新日期:2020-09-08
  • Interactive Visual Study of Multiple Attributes Learning Model of X-Ray Scattering Images
    arXiv.cs.GR Pub Date : 2020-09-03
    Xinyi Huang; Suphanut Jamonnak; Ye Zhao; Boyu Wang; Minh Hoai; Kevin Yager; Wei Xu

    Existing interactive visualization tools for deep learning are mostly applied to the training, debugging, and refinement of neural network models working on natural images. However, visual analytics tools are lacking for the specific application of x-ray image classification with multiple structural attributes. In this paper, we present an interactive system for domain scientists to visually study

    更新日期:2020-09-08
  • Homomorphic-Encrypted Volume Rendering
    arXiv.cs.GR Pub Date : 2020-09-04
    Sebastian Mazza; Daniel Patel; Ivan Viola

    Computationally demanding tasks are typically calculated in dedicated data centers, and real-time visualizations also follow this trend. Some rendering tasks, however, require the highest level of confidentiality so that no other party, besides the owner, can read or see the sensitive data. Here we present a direct volume rendering approach that performs volume rendering directly on encrypted volume

    更新日期:2020-09-08
  • Staged Animation Strategies for Online Dynamic Networks
    arXiv.cs.GR Pub Date : 2020-09-04
    Tarik Crnovrsanin; Shilpika; Senthil Chandrasegaran; Kwan-Liu Ma

    Dynamic networks -- networks that change over time -- can be categorized into two types: offline dynamic networks, where all states of the network are known, and online dynamic networks, where only the past states of the network are known. Research on staging animated transitions in dynamic networks has focused more on offline data, where rendering strategies can take into account past and future states

    更新日期:2020-09-08
  • TopoMap: A 0-dimensional Homology Preserving Projection of High-Dimensional Data
    arXiv.cs.GR Pub Date : 2020-09-03
    Harish Doraiswamy; Julien Tierny; Paulo J. S. Silva; Luis Gustavo Nonato; Claudio Silva

    Multidimensional Projection is a fundamental tool for high-dimensional data analytics and visualization. With very few exceptions, projection techniques are designed to map data from a high-dimensional space to a visual space so as to preserve some dissimilarity (similarity) measure, such as the Euclidean distance for example. In fact, although adopting distinct mathematical formulations designed to

    更新日期:2020-09-05
  • TAP-Net: Transport-and-Pack using Reinforcement Learning
    arXiv.cs.GR Pub Date : 2020-09-03
    Ruizhen Hu; Juzhan Xu; Bin Chen; Minglun Gong; Hao Zhang; Hui Huang

    We introduce the transport-and-pack(TAP) problem, a frequently encountered instance of real-world packing, and develop a neural optimization solution based on reinforcement learning. Given an initial spatial configuration of boxes, we seek an efficient method to iteratively transport and pack the boxes compactly into a target container. Due to obstruction and accessibility constraints, our problem

    更新日期:2020-09-05
  • DeformSyncNet: Deformation Transfer via Synchronized Shape Deformation Spaces
    arXiv.cs.GR Pub Date : 2020-09-03
    Minhyuk Sung; Zhenyu Jiang; Panos Achlioptas; Niloy J. Mitra; Leonidas J. Guibas

    Shape deformation is an important component in any geometry processing toolbox. The goal is to enable intuitive deformations of single or multiple shapes or to transfer example deformations to new shapes while preserving the plausibility of the deformed shape(s). Existing approaches assume access to point-level or part-level correspondence or establish them in a preprocessing phase, thus limiting the

    更新日期:2020-09-05
  • Symmetry and scaling limits for matching of implicit surfaces based on thin shell energies
    arXiv.cs.GR Pub Date : 2020-09-03
    José A. Iglesias

    In a recent paper by Iglesias, Rumpf and Scherzer (Found. Comput. Math. 18(4), 2018) a variational model for deformations matching a pair of shapes given as level set functions was proposed. Its main feature is the presence of anisotropic energies active only in a narrow band around the hypersurfaces that resemble the behavior of elastic shells. In this work we consider some extensions and further

    更新日期:2020-09-05
  • Mononizing Binocular Videos
    arXiv.cs.GR Pub Date : 2020-09-03
    Wenbo Hu; Menghan Xia; Chi-Wing Fu; Tien-Tsin Wong

    This paper presents the idea ofmono-nizingbinocular videos and a frame-work to effectively realize it. Mono-nize means we purposely convert abinocular video into a regular monocular video with the stereo informationimplicitly encoded in a visual but nearly-imperceptible form. Hence, wecan impartially distribute and show the mononized video as an ordinarymonocular video. Unlike ordinary monocular videos

    更新日期:2020-09-05
  • A Study of Opacity Ranges for Transparent Overlays in 3D Landscapes
    arXiv.cs.GR Pub Date : 2020-09-02
    Jan Hombeck; Li Ji; Kai Lawonn; Charles Perin

    {When visualizing data in a realistically rendered 3D virtual environment, it is often important to represent not only the 3D scene but also overlaid information about additional, abstract data. These overlays must be usefully visible, i.e. be readable enough to convey the information they represent, but remain unobtrusive to avoid cluttering the view. We take a step toward establishing guidelines

    更新日期:2020-09-03
  • Inspection of histological 3D reconstructions in virtual reality
    arXiv.cs.GR Pub Date : 2020-09-02
    Oleg Lobachev; Moritz Berthold; Birte S. Steiniger; Henriette Pfeffer; Michael Guthe

    3D reconstruction is a challenging current topic in medical research. We perform 3D reconstructions from serial sections stained by immunohistological methods. This paper presents an immersive visualisation solution to quality control (QC), inspect, and analyse such reconstructions. QC is essential to establish correct digital processing methodologies. Visual analytics, such as annotation placement

    更新日期:2020-09-03
  • Neural Crossbreed: Neural Based Image Metamorphosis
    arXiv.cs.GR Pub Date : 2020-09-02
    Sanghun Park; Kwanggyoon Seo; Junyong Noh

    We propose Neural Crossbreed, a feed-forward neural network that can learn a semantic change of input images in a latent space to create the morphing effect. Because the network learns a semantic change, a sequence of meaningful intermediate images can be generated without requiring the user to specify explicit correspondences. In addition, the semantic change learning makes it possible to perform

    更新日期:2020-09-03
  • Efficient 2D Simulation on Moving 3D Surfaces
    arXiv.cs.GR Pub Date : 2020-09-01
    Dieter Morgenroth; Stefan Reinhardt; Daniel Weiskopf; Bernhard Eberhardt

    We present a method to simulate fluid flow on evolving surfaces, e.g., an oil film on a water surface. Given an animated surface (e.g., extracted from a particle-based fluid simulation) in three-dimensional space, we add a second simulation on this base animation. In general, we solve a partial differential equation (PDE) on a level set surface obtained from the animated input surface. The properties

    更新日期:2020-09-02
  • GIF: Generative Interpretable Faces
    arXiv.cs.GR Pub Date : 2020-08-31
    Partha Ghosh; Pravir Singh Gupta; Roy Uziel; Anurag Ranjan; Michael Black; Timo Bolkart

    Photo-realistic visualization and animation of expressive human faces have been a long standing challenge. On one end of the spectrum, 3D face modeling methods provide parametric control but tend to generate unrealistic images, while on the other end, generative 2D models like GANs (Generative Adversarial Networks) output photo-realistic face images, but lack explicit control. Recent methods gain partial

    更新日期:2020-09-02
  • Localized Topological Simplification of Scalar Data
    arXiv.cs.GR Pub Date : 2020-08-31
    Jonas Lukasczyk; Christoph Garth; Ross Maciejewski; Julien Tierny

    This paper describes a localized algorithm for the topological simplification of scalar data, an essential pre-processing step of topological data analysis (TDA). Given a scalar field f and a selection of extrema to preserve, the proposed localized topological simplification (LTS) derives a function g that is close to f and only exhibits the selected set of extrema. Specifically, sub- and superlevel

    更新日期:2020-09-02
  • A Square Equal-area Map Projection
    arXiv.cs.GR Pub Date : 2020-08-31
    Matthew A. Petroff

    A novel square equal-area map projection is proposed. The projection combines closed-form forward and inverse solutions with relatively low angular distortion and minimal cusps, a combination of properties not manifested by any previously published square equal-area projection. Thus, the new projection has lower angular distortion than any previously published square equal-area projection with a closed-form

    更新日期:2020-09-01
  • Direct Volume Rendering with Nonparametric Models of Uncertainty
    arXiv.cs.GR Pub Date : 2020-08-31
    Tushar Athawale; Bo Ma; Elham Sakhaee; Chris R. Johnson; Alireza Entezari

    We present a nonparametric statistical framework for the quantification, analysis, and propagation of data uncertainty in direct volume rendering (DVR). The state-of-the-art statistical DVR framework allows for preserving the transfer function (TF) of the ground truth function when visualizing uncertain data; however, the existing framework is restricted to parametric models of uncertainty. In this

    更新日期:2020-09-01
  • ChemVA: Interactive Visual Analysis of Chemical Compound Similarity in Virtual Screening
    arXiv.cs.GR Pub Date : 2020-08-30
    María Virginia Sabando; Pavol Ulbrich; Matías Selzer; Jan Byška; Jan Mičan; Ignacio Ponzoni; Axel J. Soto; María Luján Ganuza; Barbora Kozlíková

    In the modern drug discovery process, medicinal chemists deal with the complexity of analysis of large ensembles of candidate molecules. Computational tools, such as dimensionality reduction (DR) and classification, are commonly used to efficiently process the multidimensional space of features. These underlying calculations often hinder interpretability of results and prevent experts from assessing

    更新日期:2020-09-01
  • ClipFlip : Multi-view Clipart Design
    arXiv.cs.GR Pub Date : 2020-08-29
    I-Chao Shen; Kuan-Hung Liu; Li-Wen Su; Yu-Ting Wu; Bing-Yu Chen

    We present an assistive system for clipart design by providing visual scaffolds from the unseen viewpoints. Inspired by the artists' creation process, our system constructs the visual scaffold by first synthesizing the reference 3D shape of the input clipart and rendering it from the desired viewpoint. The critical challenge of constructing this visual scaffold is to generate a reference 3Dshape that

    更新日期:2020-09-01
  • Relationship-aware Multivariate Sampling Strategy for Scientific Simulation Data
    arXiv.cs.GR Pub Date : 2020-08-31
    Subhashis Hazarika; Ayan Biswas; Phillip J. Wolfram; Earl Lawrence; Nathan Urban

    With the increasing computational power of current supercomputers, the size of data produced by scientific simulations is rapidly growing. To reduce the storage footprint and facilitate scalable post-hoc analyses of such scientific data sets, various data reduction/summarization methods have been proposed over the years. Different flavors of sampling algorithms exist to sample the high-resolution scientific

    更新日期:2020-09-01
  • Discrete Curvature and Torsion from Cross-Ratios
    arXiv.cs.GR Pub Date : 2020-08-30
    Christian Müller; Amir Vaxman

    Motivated by a M\"obius invariant subdivision scheme for polygons, we study a curvature notion for discrete curves where the cross-ratio plays an important role in all our key definitions. Using a particular M\"obius invariant point-insertion-rule, comparable to the classical four-point-scheme, we construct circles along discrete curves. Asymptotic analysis shows that these circles defined on a sampled

    更新日期:2020-09-01
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