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  • To Explore What Isn't There -- Glyph-based Visualization for Analysis of Missing Values
    arXiv.cs.GR Pub Date : 2020-11-24
    Sara Johansson Fernstad; Jimmy Johansson

    This paper contributes a novel visualization method, Missingness Glyph, for analysis and exploration of missing values in data. Missing values are a common challenge in most data generating domains and may cause a range of analysis issues. Missingness in data may indicate potential problems in data collection and pre-processing, or highlight important data characteristics. While the development and

    更新日期:2020-11-25
  • Recurrent Multi-view Alignment Network for Unsupervised Surface Registration
    arXiv.cs.GR Pub Date : 2020-11-24
    Wanquan Feng; Juyong Zhang; Hongrui Cai; Haofei Xu; Junhui Hou; Hujun Bao

    Learning non-rigid registration in an end-to-end manner is challenging due to the inherent high degrees of freedom and the lack of labeled training data. In this paper, we resolve these two challenges simultaneously. First, we propose to represent the non-rigid transformation with a point-wise combination of several rigid transformations. This representation not only makes the solution space well-constrained

    更新日期:2020-11-25
  • Evaluating Feedback Strategies for Virtual Human Trainers
    arXiv.cs.GR Pub Date : 2020-11-23
    Xiumin Shang; Ahmed Sabbir Arif; Marcelo Kallmann

    In this paper we address feedback strategies for an autonomous virtual trainer. First, a pilot study was conducted to identify and specify feedback strategies for assisting participants in performing a given task. The task involved sorting virtual cubes according to areas of countries displayed on them. Two feedback strategies were specified. The first provides correctness feedback by fully correcting

    更新日期:2020-11-25
  • Differentiable Computational Geometry for 2D and 3D machine learning
    arXiv.cs.GR Pub Date : 2020-11-22
    Yuanxin Zhong

    With the growth of machine learning algorithms with geometry primitives, a high-efficiency library with differentiable geometric operators are desired. We present an optimized Differentiable Geometry Algorithm Library (DGAL) loaded with implementations of differentiable operators for geometric primitives like lines and polygons. The library is a header-only templated C++ library with GPU support. We

    更新日期:2020-11-25
  • Iterative Text-based Editing of Talking-heads Using Neural Retargeting
    arXiv.cs.GR Pub Date : 2020-11-21
    Xinwei Yao; Ohad Fried; Kayvon Fatahalian; Maneesh Agrawala

    We present a text-based tool for editing talking-head video that enables an iterative editing workflow. On each iteration users can edit the wording of the speech, further refine mouth motions if necessary to reduce artifacts and manipulate non-verbal aspects of the performance by inserting mouth gestures (e.g. a smile) or changing the overall performance style (e.g. energetic, mumble). Our tool requires

    更新日期:2020-11-25
  • HDR Environment Map Estimation for Real-Time Augmented Reality
    arXiv.cs.GR Pub Date : 2020-11-21
    Gowri Somanath; Daniel Kurz

    We present a method to estimate an HDR environment map from a narrow field-of-view LDR camera image in real-time. This enables perceptually appealing reflections and shading on virtual objects of any material finish, from mirror to diffuse, rendered into a real physical environment using augmented reality. Our method is based on our efficient convolutional neural network architecture, EnvMapNet, trained

    更新日期:2020-11-25
  • ScalarFlow: A Large-Scale Volumetric Data Set of Real-world Scalar Transport Flows for Computer Animation and Machine Learning
    arXiv.cs.GR Pub Date : 2020-11-20
    Marie-Lena Eckert; Kiwon Um; Nils Thuerey

    In this paper, we present ScalarFlow, a first large-scale data set of reconstructions of real-world smoke plumes. We additionally propose a framework for accurate physics-based reconstructions from a small number of video streams. Central components of our algorithm are a novel estimation of unseen inflow regions and an efficient regularization scheme. Our data set includes a large number of complex

    更新日期:2020-11-23
  • Perceptual Evaluation of Liquid Simulation Methods
    arXiv.cs.GR Pub Date : 2020-11-20
    Kiwon Um; Xiangyu Hu; Nils Thuerey

    This paper proposes a novel framework to evaluate fluid simulation methods based on crowd-sourced user studies in order to robustly gather large numbers of opinions. The key idea for a robust and reliable evaluation is to use a reference video from a carefully selected real-world setup in the user study. By conducting a series of controlled user studies and comparing their evaluation results, we observe

    更新日期:2020-11-23
  • Neural Scene Graphs for Dynamic Scenes
    arXiv.cs.GR Pub Date : 2020-11-20
    Julian Ost; Fahim Mannan; Nils Thuerey; Julian Knodt; Felix Heide

    Recent implicit neural rendering methods have demonstrated that it is possible to learn accurate view synthesis for complex scenes by predicting their volumetric density and color supervised solely by a set of RGB images. However, existing methods are restricted to learning efficient interpolations of static scenes that encode all scene objects into a single neural network, lacking the ability to represent

    更新日期:2020-11-23
  • Deep Snapshot HDR Imaging Using Multi-Exposure Color Filter Array
    arXiv.cs.GR Pub Date : 2020-11-20
    Takeru Suda; Masayuki Tanaka; Yusuke Monno; Masatoshi Okutomi

    In this paper, we propose a deep snapshot high dynamic range (HDR) imaging framework that can effectively reconstruct an HDR image from the RAW data captured using a multi-exposure color filter array (ME-CFA), which consists of a mosaic pattern of RGB filters with different exposure levels. To effectively learn the HDR image reconstruction network, we introduce the idea of luminance normalization that

    更新日期:2020-11-23
  • Batteries, camera, action! Learning a semantic control space for expressive robot cinematography
    arXiv.cs.GR Pub Date : 2020-11-19
    Rogerio Bonatti; Arthur Bucker; Sebastian Scherer; Mustafa Mukadam; Jessica Hodgins

    Aerial vehicles are revolutionizing the way film-makers can capture shots of actors by composing novel aerial and dynamic viewpoints. However, despite great advancements in autonomous flight technology, generating expressive camera behaviors is still a challenge and requires non-technical users to edit a large number of unintuitive control parameters. In this work we develop a data-driven framework

    更新日期:2020-11-23
  • Assembling a Pipeline for 3D Face Interpolation
    arXiv.cs.GR Pub Date : 2020-11-19
    Yusuke Niiro; Marcelo Kallmann

    This paper describes a pipeline built with open source tools for interpolating 3D facial expressions taken from images. The presented approach allows anyone to create 3D face animations from 2 input photos: one from the start face expression, and the other from the final face expression. Given the input photos, corresponding 3D face models are constructed and texture-mapped using the photos as textures

    更新日期:2020-11-21
  • Designing Game Feel. A Survey
    arXiv.cs.GR Pub Date : 2020-11-18
    Martin Pichlmair; Mads Johansen

    Game feel design is the intentional design of the affective impact of moment-to-moment interaction with games. In this paper we survey academic research and publications by practitioners to give a complete overview of the state of research concerning this aspect of game design, including context from related areas. We analysed over 200 sources and categorised their content according to the design purpose

    更新日期:2020-11-19
  • FTK: A High-Dimensional Simplicial Meshing Framework for Robust and Scalable Feature Tracking
    arXiv.cs.GR Pub Date : 2020-11-17
    Hanqi Guo; David Lenz; Jiayi Xu; Xin Liang; Wenbin He; Iulian R. Grindeanu; Han-Wei Shen; Tom Peterka; Todd Munson; Ian Foster

    We present the Feature Tracking Kit (FTK), a framework that simplifies, scales, and delivers various feature-tracking algorithms for scientific data. The key of FTK is our high-dimensional simplicial meshing scheme that generalizes both regular and unstructured spatial meshes to spacetime while tessellating spacetime mesh elements into simplices. The benefits of using simplicial spacetime meshes include

    更新日期:2020-11-18
  • Normalized Weighting Schemes for Image Interpolation Algorithms
    arXiv.cs.GR Pub Date : 2020-11-17
    Olivier Rukundo

    This paper presents and evaluates four weighting schemes for image interpolation algorithms. The first scheme is based on the normalized area of the circle, whose diameter is equal to the minimum side of a tetragon. The second scheme is based on the normalized area of the circle, whose radius is equal to the hypotenuse. The third scheme is based on the normalized area of the triangle, whose base and

    更新日期:2020-11-18
  • Conversion Between Bezier and Catmull-Rom Splines
    arXiv.cs.GR Pub Date : 2020-11-16
    Soroosh Tayebi Arasteh; Adam Kalisz

    Splines are one of the main methods of mathematically representing complicated shapes, which have become the primary technique in computer graphics for modeling complex surfaces. Among all, Bezier and Catmull-Rom splines are of the most used in the subfields of engineering. In this document, we focus on conversion of splines rather than going through the properties of them, i.e, converting the control

    更新日期:2020-11-18
  • Deep Active Surface Models
    arXiv.cs.GR Pub Date : 2020-11-17
    Udaranga Wickramasinghe; Graham Knott; Pascal Fua

    Active Surface Models have a long history of being useful to model complex 3D surfaces but only Active Contours have been used in conjunction with deep networks, and then only to produce the data term as well as meta-parameter maps controlling them. In this paper, we advocate a much tighter integration. We introduce layers that implement them that can be integrated seamlessly into Graph Convolutional

    更新日期:2020-11-18
  • Topology-Based Feature Design and Tracking for Multi-Center Cyclones
    arXiv.cs.GR Pub Date : 2020-11-01
    Wito Engelke; Talha Bin Masood; Jakob Beran; Rodrigo Caballero; Ingrid Hotz

    In this paper, we propose a concept to design, track, and compare application-specific feature definitions expressed as sets of critical points. Our work has been inspired by the observation that in many applications a large variety of different feature definitions for the same concept are used. Often, these definitions compete with each other and it is unclear which definition should be used in which

    更新日期:2020-11-18
  • Aquanims -- Area-Preserving Animated Transitions based on a Hydraulic Metaphor
    arXiv.cs.GR Pub Date : 2020-11-15
    Michael Aupetit

    We propose "Aquanims" as new design metaphors for animated transitions that preserve displayed areas during the transformation. As liquids are incompressible fluids, we use a hydraulic metaphor to convey the sense of area preservation during animated transitions. We study the design space of Aquanims for rectangle-based charts.

    更新日期:2020-11-17
  • Designing Human-Robot Coexistence Space
    arXiv.cs.GR Pub Date : 2020-11-14
    Jixuan Zhi; Lap-Fai Yu; Jyh-Ming Lien

    When the human-robot interactions become ubiquitous, the environment surrounding these interactions will have significant impact on the safety and comfort of the human and the effectiveness and efficiency of the robot. Although most robots are designed to work in the spaces created for humans, many environments, such as living rooms and offices, can be and should be redesigned to enhance and improve

    更新日期:2020-11-17
  • SHAD3S: : A model to Sketch, Shade and Shadow
    arXiv.cs.GR Pub Date : 2020-11-13
    Raghav Brahmadesam Venkataramaiyer; Abhishek Joshi; Saisha Narang; Vinay P. Namboodiri

    Hatching is a common method used by artists to accentuate the third dimension of a sketch, and to illuminate the scene. Our system SHAD3S attempts to compete with a human at hatching generic three-dimensional (3D) shapes, and also tries to assist her in a form exploration exercise. The novelty of our approach lies in the fact that we make no assumptions about the input other than that it represents

    更新日期:2020-11-16
  • Slice and Dice: A Physicalization Workflow for Anatomical Edutainment
    arXiv.cs.GR Pub Date : 2020-11-11
    Renata G. Raidou; M. Eduard Gröller; Hsiang-Yun Wu

    During the last decades, anatomy has become an interesting topic in education---even for laymen or schoolchildren. As medical imaging techniques become increasingly sophisticated, virtual anatomical education applications have emerged. Still, anatomical models are often preferred, as they facilitate 3D localization of anatomical structures. Recently, data physicalizations (i.e., physical visualizations)

    更新日期:2020-11-12
  • Diffusion Structures for Architectural Stripe Pattern Generation
    arXiv.cs.GR Pub Date : 2020-11-11
    Abhishek Madan; Alec Jacobson; David I. W. Levin

    We present Diffusion Structures, a family of resilient shell structures from the eigenfunctions of a pair of novel diffusion operators. This approach is based on Michell's theorem but avoids expensive non-linear optimization with computation that amounts to constructing and solving two generalized eigenvalue problems to generate two sets of stripe patterns. This structure family can be generated quickly

    更新日期:2020-11-12
  • Sound Synthesis, Propagation, and Rendering: A Survey
    arXiv.cs.GR Pub Date : 2020-11-11
    Shiguang Liu; Dinesh Manocha

    Sound, as a crucial sensory channel, plays a vital role in improving the reality and immersiveness of a virtual environment, following only vision in importance. Sound can provide important clues such as sound directionality and spatial size. This paper gives a broad overview of research works on sound simulation in virtual reality, games, multimedia, computer-aided design. We first survey various

    更新日期:2020-11-12
  • Topology of Frame Field Meshing
    arXiv.cs.GR Pub Date : 2020-11-10
    Piotr Beben

    In the past decade frame fields have emerged as a promising approach for generating hexahedral meshes for CFD and CAE applications. One important problem asks for construction of a boundary aligned frame field with prescribed singularity constraints that correspond to a valid hexahedral mesh. We give a necessary and sufficient condition in terms of solutions to a system of monomial equations whose

    更新日期:2020-11-12
  • An End-to-End Differentiable but Explainable Physics Engine for Tensegrity Robots: Modeling and Control
    arXiv.cs.GR Pub Date : 2020-11-10
    Kun Wang; Mridul Aanjaneya; Kostas Bekris

    This work proposes an end-to-end differentiable physics engine for tensegrity robots, which introduces a data-efficient linear contact model for accurately predicting collision responses that arise due to contacting surfaces, and a linear actuator model that can drive these robots by expanding and contracting their flexible cables. To the best of the authors' knowledge, this is the \emph{first} differentiable

    更新日期:2020-11-12
  • Spring-Rod System Identification via Differentiable Physics Engine
    arXiv.cs.GR Pub Date : 2020-11-09
    Kun Wang; Mridul Aanjaneya; Kostas Bekris

    We propose a novel differentiable physics engine for system identification of complex spring-rod assemblies. Unlike black-box data-driven methods for learning the evolution of a dynamical system \emph{and} its parameters, we modularize the design of our engine using a discrete form of the governing equations of motion, similar to a traditional physics engine. We further reduce the dimension from 3D

    更新日期:2020-11-12
  • Similarity-Based Clustering for Enhancing Image Classification Architectures
    arXiv.cs.GR Pub Date : 2020-11-03
    Dishant Parikh; Shambhavi Aggarwal

    Convolutional networks are at the center of best in class computer vision applications for a wide assortment of undertakings. Since 2014, profound amount of work began to make better convolutional architectures, yielding generous additions in different benchmarks. Albeit expanded model size and computational cost will, in general, mean prompt quality increases for most undertakings but, the architectures

    更新日期:2020-11-12
  • LCollision: Fast Generation of Collision-Free Human Poses using Learned Non-Penetration Constraints
    arXiv.cs.GR Pub Date : 2020-11-06
    Qingyang Tan; Zherong Pan; Dinesh Manocha

    We present a learning-based method (LCollision) that synthesizes collision-free 3D human poses. At the crux of our approach is a novel deep architecture that simultaneously decodes new human poses from the latent space and classifies the collision status. These two components of our architecture are used as the objective function and surrogate hard-constraints in a constrained-optimization algorithm

    更新日期:2020-11-12
  • Unmasking Communication Partners: A Low-Cost AI Solution for Digitally Removing Head-Mounted Displays in VR-Based Telepresence
    arXiv.cs.GR Pub Date : 2020-11-06
    Philipp Ladwig; Alexander Pech; Ralf Dörner; Christian Geiger

    Face-to-face conversation in Virtual Reality (VR) is a challenge when participants wear head-mounted displays (HMD). A significant portion of a participant's face is hidden and facial expressions are difficult to perceive. Past research has shown that high-fidelity face reconstruction with personal avatars in VR is possible under laboratory conditions with high-cost hardware. In this paper, we propose

    更新日期:2020-11-12
  • Fast Fourier Intrinsic Network
    arXiv.cs.GR Pub Date : 2020-11-09
    Yanlin Qian; Miaojing Shi; Joni-Kristian Kämäräinen; Jiri Matas

    We address the problem of decomposing an image into albedo and shading. We propose the Fast Fourier Intrinsic Network, FFI-Net in short, that operates in the spectral domain, splitting the input into several spectral bands. Weights in FFI-Net are optimized in the spectral domain, allowing faster convergence to a lower error. FFI-Net is lightweight and does not need auxiliary networks for training.

    更新日期:2020-11-12
  • Flexible Virtual Reality System for Neurorehabilitation and Quality of Life Improvement
    arXiv.cs.GR Pub Date : 2020-11-06
    Iulia-Cristina Stanica; Florica Moldoveanu; Giovanni-Paul Portelli; Maria-Iuliana Dascalu; Alin Moldoveanu; Mariana Georgiana Ristea

    As life expectancy is mostly increasing, the incidence of many neurological disorders is also constantly growing. For improving the physical functions affected by a neurological disorder, rehabilitation procedures are mandatory, and they must be performed regularly. Unfortunately, neurorehabilitation procedures have disadvantages in terms of costs, accessibility and a lack of therapists. This paper

    更新日期:2020-11-12
  • Fourier-based and Rational Graph Filters for Spectral Processing
    arXiv.cs.GR Pub Date : 2020-11-08
    Giuseppe Patanè

    Data are represented as graphs in a wide range of applications, such as Computer Vision (e.g., images) and Graphics (e.g., 3D meshes), network analysis (e.g., social networks), and bio-informatics (e.g., molecules). In this context, our overall goal is the definition of novel Fourier-based and graph filters induced by rational polynomials for graph processing, which generalise polynomial filters and

    更新日期:2020-11-12
  • Interactive digital storytelling: bringing cultural heritage in a classroom
    arXiv.cs.GR Pub Date : 2020-10-14
    Selma Rizvic; Dusanka Boskovic; Vensada Okanovic; Sanda Sljivo; Merima Zukic

    Interactive digital storytelling becomes a popular choice for information presentation in many fields. Its application spans from media industry and business information visualization, through digital cultural heritage, serious games, education, to contemporary theater and visual arts. The benefits of this form of multimedia presentation in education are generally recognized, and several studies exploring

    更新日期:2020-11-12
  • Learning Human Search Behavior from Egocentric Visual Inputs
    arXiv.cs.GR Pub Date : 2020-11-06
    Maks Sorokin; Wenhao Yu; Sehoon Ha; C. Karen Liu

    "Looking for things" is a mundane but critical task we repeatedly carry on in our daily life. We introduce a method to develop a human character capable of searching for a randomly located target object in a detailed 3D scene using its locomotion capability and egocentric vision perception represented as RGBD images. By depriving the privileged 3D information from the human character, it is forced

    更新日期:2020-11-12
  • Modular Primitives for High-Performance Differentiable Rendering
    arXiv.cs.GR Pub Date : 2020-11-06
    Samuli Laine; Janne Hellsten; Tero Karras; Yeongho Seol; Jaakko Lehtinen; Timo Aila

    We present a modular differentiable renderer design that yields performance superior to previous methods by leveraging existing, highly optimized hardware graphics pipelines. Our design supports all crucial operations in a modern graphics pipeline: rasterizing large numbers of triangles, attribute interpolation, filtered texture lookups, as well as user-programmable shading and geometry processing

    更新日期:2020-11-09
  • Mapper Interactive: A Scalable, Extendable, and Interactive Toolbox for the Visual Exploration of High-Dimensional Data
    arXiv.cs.GR Pub Date : 2020-11-06
    Youjia Zhou; Nithin Chalapathi; Archit Rathore; Yaodong Zhao; Bei Wang

    Mapper algorithm is a popular tool from topological data analysis for extracting topological summaries of high-dimensional datasets. It has enjoyed great success in data science, from shape classification to cancer research and sports analytics. In this paper, we present Mapper Interactive, a web-based framework for the interactive analysis and visualization of high-dimensional point cloud data built

    更新日期:2020-11-09
  • Learning Multiple-Scattering Solutions for Sphere-Tracing of Volumetric Subsurface Effects
    arXiv.cs.GR Pub Date : 2020-11-05
    Ludwig Leonard; Kevin Hoehlein; Ruediger Westermann

    Accurate subsurface scattering solutions require the integration of optical material properties along many complicated light paths. We present a method that learns a simple geometric approximation of random paths in a homogeneous volume of translucent material. The generated representation allows determining the absorption along the path as well as a direct lighting contribution, which is representative

    更新日期:2020-11-09
  • Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding
    arXiv.cs.GR Pub Date : 2020-11-04
    Mike Roberts; Nathan Paczan

    For many fundamental scene understanding tasks, it is difficult or impossible to obtain per-pixel ground truth labels from real images. We address this challenge by introducing Hypersim, a photorealistic synthetic dataset for holistic indoor scene understanding. To create our dataset, we leverage a large repository of synthetic scenes created by professional artists, and we generate 77,400 images of

    更新日期:2020-11-06
  • An Empirical-cum-Statistical Approach to Power-Performance Characterization of Concurrent GPU Kernels
    arXiv.cs.GR Pub Date : 2020-11-04
    Nilanjan Goswami; Amer Qouneh; Chao Li; Tao Li

    Growing deployment of power and energy efficient throughput accelerators (GPU) in data centers demands enhancement of power-performance co-optimization capabilities of GPUs. Realization of exascale computing using accelerators requires further improvements in power efficiency. With hardwired kernel concurrency enablement in accelerators, inter- and intra-workload simultaneous kernels computation predicts

    更新日期:2020-11-05
  • Palette diagram: A Python package for visualization of collective categorical data
    arXiv.cs.GR Pub Date : 2020-11-03
    Chihiro Noguchi; Tatsuro Kawamoto

    Categorical data, wherein a numerical quantity is assigned to each category (nominal variable), are ubiquitous in data science. A palette diagram is a visualization tool for a large number of categorical datasets, each comprising several categories.

    更新日期:2020-11-05
  • PCEDNet : A Neural Network for Fast and Efficient Edge Detection in 3D Point Clouds
    arXiv.cs.GR Pub Date : 2020-11-03
    Himeur Chems-Eddine; Lejemble Thibault; Pellegrini Thomas; Paulin Mathias; Barthe Loic; Mellado Nicolas

    In recent years, Convolutional Neural Networks (CNN) have proven to be efficient analysis tools for processing point clouds, e.g., for reconstruction, segmentation and classification. In this paper, we focus on the classification of edges in point clouds, where both edges and their surrounding are described. We propose a new parameterization adding to each point a set of differential information on

    更新日期:2020-11-04
  • Uncertainty-Oriented Ensemble Data Visualization and Exploration using Variable Spatial Spreading
    arXiv.cs.GR Pub Date : 2020-11-03
    Mingdong Zhang; Li Chen; Quan Li; Xiaoru Yuan; Junhai Yong

    As an important method of handling potential uncertainties in numerical simulations, ensemble simulation has been widely applied in many disciplines. Visualization is a promising and powerful ensemble simulation analysis method. However, conventional visualization methods mainly aim at data simplification and highlighting important information based on domain expertise instead of providing a flexible

    更新日期:2020-11-04
  • Visualization of Technical and Tactical Characteristics in Fencing
    arXiv.cs.GR Pub Date : 2020-11-03
    Mingdong Zhang; Li Chen; Xiaoru Yuan; Renpei Huang; Shuang Liu; Junhai Yong

    Fencing is a sport that relies heavily on the use of tactics. However, most existing methods for analyzing fencing data are based on statistical models in which hidden patterns are difficult to discover. Unlike sequential games, such as tennis and table tennis, fencing is a type of simultaneous game. Thus, the existing methods on the sports visualization do not operate well for fencing matches. In

    更新日期:2020-11-04
  • Virtual reality simulations of curved spaces
    arXiv.cs.GR Pub Date : 2020-11-01
    Jeff Weeks

    Previous virtual-reality simulations of curved space, which typically present honeycombs or other periodic structures, have proven effective in letting mathematicians experience curved space directly. By contrast, for students and other non-mathematicians, a game like Non-Euclidean Billiards is more effective because it gives students not just something to see, but also something to do in the curved

    更新日期:2020-11-04
  • Unsupervised Monocular Depth Learning in Dynamic Scenes
    arXiv.cs.GR Pub Date : 2020-10-30
    Hanhan Li; Ariel Gordon; Hang Zhao; Vincent Casser; Anelia Angelova

    We present a method for jointly training the estimation of depth, ego-motion, and a dense 3D translation field of objects relative to the scene, with monocular photometric consistency being the sole source of supervision. We show that this apparently heavily underdetermined problem can be regularized by imposing the following prior knowledge about 3D translation fields: they are sparse, since most

    更新日期:2020-11-02
  • papaya2: 2D Irreducible Minkowski Tensor computation
    arXiv.cs.GR Pub Date : 2020-10-28
    Fabian M. Schaller; Jenny Wagner; Sebastian C. Kapfer

    A common challenge in scientific and technical domains is the quantitative description of geometries and shapes, e.g. in the analysis of microscope imagery or astronomical observation data. Frequently, it is desirable to go beyond scalar shape metrics such as porosity and surface to volume ratios because the samples are anisotropic or because direction-dependent quantities such as conductances or elasticity

    更新日期:2020-10-30
  • Ray-marching Thurston geometries
    arXiv.cs.GR Pub Date : 2020-10-29
    Rémi Coulon; Elisabetta A. Matsumoto; Henry Segerman; Steve J. Trettel

    We describe algorithms that produce accurate real-time interactive in-space views of the eight Thurston geometries using ray-marching. We give a theoretical framework for our algorithms, independent of the geometry involved. In addition to scenes within a geometry $X$, we also consider scenes within quotient manifolds and orbifolds $X / \Gamma$. We adapt the Phong lighting model to non-euclidean geometries

    更新日期:2020-10-30
  • Free-boundary conformal parameterization of point clouds
    arXiv.cs.GR Pub Date : 2020-10-29
    Yechen Liu; Gary P. T. Choi; Lok Ming Lui

    With the advancement in 3D scanning technology, there has been a surge of interest in the use of point clouds in science and engineering. To facilitate the computations and analyses of point clouds, prior works have considered parameterizing them onto some simple planar domains with a fixed boundary shape such as a unit circle or a rectangle. However, the geometry of the fixed shape may lead to some

    更新日期:2020-10-30
  • Optimal Textures: Fast and Robust Texture Synthesis and Style Transfer through Optimal Transport
    arXiv.cs.GR Pub Date : 2020-10-28
    Eric Risser

    This paper presents a light-weight, high-quality texture synthesis algorithm that easily generalizes to other applications such as style transfer and texture mixing. We represent texture features through the deep neural activation vectors within the bottleneck layer of an auto-encoder and frame the texture synthesis problem as optimal transport between the activation values of the image being synthesized

    更新日期:2020-10-30
  • Diptychs of human and machine perceptions
    arXiv.cs.GR Pub Date : 2020-10-12
    Vivien Cabannes; Thomas Kerdreux; Louis Thiry

    We propose visual creations that put differences in algorithms and humans \emph{perceptions} into perspective. We exploit saliency maps of neural networks and visual focus of humans to create diptychs that are reinterpretations of an original image according to both machine and human attentions. Using those diptychs as a qualitative evaluation of perception, we discuss some crucial issues of current

    更新日期:2020-10-30
  • A Characterization of 3D Printability
    arXiv.cs.GR Pub Date : 2020-10-24
    Ioannis FudosDept. of Computer Science and Engineering, University of Ioannina; Margarita NtousiaDept. of Computer Science and Engineering, University of Ioannina; Vasiliki StamatiDept. of Computer Science and Engineering, University of Ioannina; Paschalis CharalampousCentre for Research and Technology Hellas, Information Technologies Institute; Theodora KontodinaCentre for Research and Technology

    Additive manufacturing technologies are positioned to provide an unprecedented innovative transformation in how products are designed and manufactured. Due to differences in the technical specifications of AM technologies, the final fabricated parts can vary significantly from the original CAD models, therefore raising issues regarding accuracy, surface finish, robustness, mechanical properties, functional

    更新日期:2020-10-30
  • Investigating Cultural Aspects in the Fundamental Diagram using Convolutional Neural Networks and Simulation
    arXiv.cs.GR Pub Date : 2020-09-30
    Rodolfo M. Favaretto; Roberto R. Santos; Marcio Ballotin; Paulo Knob; Soraia R. Musse; Felipe Vilanova; Angelo B. Costa

    This paper presents a study regarding group behavior in a controlled experiment focused on differences in an important attribute that vary across cultures -- the personal spaces -- in two Countries: Brazil and Germany. In order to coherently compare Germany and Brazil evolutions with same population applying same task, we performed the pedestrian Fundamental Diagram experiment in Brazil, as performed

    更新日期:2020-10-26
  • SEG-MAT: 3D Shape Segmentation Using Medial Axis Transform
    arXiv.cs.GR Pub Date : 2020-10-22
    Cheng Lin; Lingjie Liu; Changjian Li; Leif Kobbelt; Bin Wang; Shiqing Xin; Wenping Wang

    Segmenting arbitrary 3D objects into constituent parts that are structurally meaningful is a fundamental problem encountered in a wide range of computer graphics applications. Existing methods for 3D shape segmentation suffer from complex geometry processing and heavy computation caused by using low-level features and fragmented segmentation results due to the lack of global consideration. We present

    更新日期:2020-10-26
  • Tackling problems of marker-based augmented reality under water
    arXiv.cs.GR Pub Date : 2020-10-11
    Jan Čejka; Fotis Liarokapis

    Underwater sites are a harsh environment for augmented reality applications. Obstacles that must be battled include poor visibility conditions, difficult navigation, and hard manipulation with devices under water. This chapter focuses on the problem of localizing a device under water using markers. It discusses various filters that enhance and improve images recorded under water, and their impact on

    更新日期:2020-10-26
  • MINVO Basis: Finding Simplexes with Minimum Volume Enclosing Polynomial Curves
    arXiv.cs.GR Pub Date : 2020-10-21
    Jesus Tordesillas; Jonathan P. How

    Outer polyhedral representations of a given polynomial curve are extensively exploited in computer graphics rendering, computer gaming, path planning for robots, and finite element simulations. B\'ezier curves (which use the Bernstein basis) or B-Splines are a very common choice for these polyhedral representations because their non-negativity and partition-of-unity properties guarantee that each interval

    更新日期:2020-10-26
  • Image-Driven Furniture Style for Interactive 3D Scene Modeling
    arXiv.cs.GR Pub Date : 2020-10-20
    Tomer Weiss; Ilkay Yildiz; Nitin Agarwal; Esra Ataer-Cansizoglu; Jae-Woo Choi

    Creating realistic styled spaces is a complex task, which involves design know-how for what furniture pieces go well together. Interior style follows abstract rules involving color, geometry and other visual elements. Following such rules, users manually select similar-style items from large repositories of 3D furniture models, a process which is both laborious and time-consuming. We propose a method

    更新日期:2020-10-26
  • Probabilistic Character Motion Synthesis using a Hierarchical Deep Latent Variable Model
    arXiv.cs.GR Pub Date : 2020-10-20
    Saeed Ghorbani; Calden Wloka; Ali Etemad; Marcus A. Brubaker; Nikolaus F. Troje

    We present a probabilistic framework to generate character animations based on weak control signals, such that the synthesized motions are realistic while retaining the stochastic nature of human movement. The proposed architecture, which is designed as a hierarchical recurrent model, maps each sub-sequence of motions into a stochastic latent code using a variational autoencoder extended over the temporal

    更新日期:2020-10-26
  • An Evaluation Testbed for Locomotion in Virtual Reality
    arXiv.cs.GR Pub Date : 2020-10-20
    Alberto Cannavò; Davide Calandra; F. Gabriele Pratticò; Valentina Gatteschi; Fabrizio Lamberti

    A common operation performed in Virtual Reality (VR) environments is locomotion. Although real walking can represent a natural and intuitive way to manage displacements in such environments, its use is generally limited by the size of the area tracked by the VR system (typically, the size of a room) or requires expensive technologies to cover particularly extended settings. A number of approaches have

    更新日期:2020-10-26
  • A Convenient Generalization of Schlick's Bias and Gain Functions
    arXiv.cs.GR Pub Date : 2020-10-17
    Jonathan T. Barron

    We present a generalization of Schlick's bias and gain functions -- simple parametric curve-shaped functions for inputs in [0, 1]. Our single function includes both bias and gain as special cases, and is able to describe other smooth and monotonic curves with variable degrees of asymmetry.

    更新日期:2020-10-26
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