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10.1145/3592440
Micro-Mesh Construction
https://doi.org/10.1145/3592440
[ "Andrea Maggiordomo", "Henry Moreton", "Marco Tarini" ]
Micro-meshes (μ-meshes) are a new structured graphics primitive supporting a large increase in geometric fidelity, without commensurate memory and run-time processing costs, consisting of a base mesh enriched by a displacement map. A new generation of GPUs supports this structure with native hardware μ-mesh ray-tracing...
journal
10.1145/3592440
official
null
null
10.1145/3592117
Contact Edit: Artist Tools for Intuitive Modeling of Hand-Object Interactions
https://doi.org/10.1145/3592117
[ "Arjun Sriram Lakshmipathy", "Nicole Feng", "Yu Xi Lee", "Moshe Mahler", "Nancy Pollard" ]
Posing high-contact interactions is challenging and time-consuming, with hand-object interactions being especially difficult due to the large number of degrees of freedom (DOF) of the hand and the fact that humans are experts at judging hand poses. This paper addresses this challenge by elevating contact areas to first...
journal
10.1145/3592117
official
2305.02051
title_snapshot
10.1145/3592123
Word-As-Image for Semantic Typography
https://doi.org/10.1145/3592123
[ "Shir Iluz", "Yael Vinker", "Amir Hertz", "Daniel Berio", "Daniel Cohen-Or", "Ariel Shamir" ]
A word-as-image is a semantic typography technique where a word illustration presents a visualization of the meaning of the word, while also preserving its readability. We present a method to create word-as-image illustrations automatically. This task is highly challenging as it requires semantic understanding of the w...
journal
10.1145/3592123
official
2303.01818
title_snapshot
10.1145/3592442
3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models
https://doi.org/10.1145/3592442
[ "Biao Zhang", "Jiapeng Tang", "Matthias Nießner", "Peter Wonka" ]
We introduce 3DShape2VecSet, a novel shape representation for neural fields designed for generative diffusion models. Our shape representation can encode 3D shapes given as surface models or point clouds, and represents them as neural fields. The concept of neural fields has previously been combined with a global laten...
journal
10.1145/3592442
official
2301.11445
title_snapshot
10.1145/3592105
Variational quasi-harmonic maps for computing diffeomorphisms
https://doi.org/10.1145/3592105
[ "Yu Wang", "Minghao Guo", "Justin Solomon" ]
Computation of injective (or inversion-free) maps is a key task in geometry processing, physical simulation, and shape optimization. Despite being a longstanding problem, it remains challenging due to its highly nonconvex and combinatoric nature. We propose computation of variational quasi-harmonic maps to obtain smoot...
journal
10.1145/3592105
official
null
null
10.1145/3592422
Forming Terrains by Glacial Erosion
https://doi.org/10.1145/3592422
[ "Guillaume Cordonnier", "Guillaume Jouvet", "Adrien Peytavie", "Jean Braun", "Marie-Paule Cani", "Bedrich Benes", "Eric Galin", "Eric Guérin", "James Gain" ]
We introduce the first solution for simulating the formation and evolution of glaciers, together with their attendant erosive effects, for periods covering the combination of glacial and inter-glacial cycles. Our efficient solution includes both a fast yet accurate deep learning-based estimation of highorder ice flows ...
journal
10.1145/3592422
official
null
null
10.1145/3592412
Orientable Dense Cyclic Infill for Anisotropic Appearance Fabrication
https://doi.org/10.1145/3592412
[ "Xavier Chermain", "Cédric Zanni", "Jonàs Martínez", "Pierre-Alexandre Hugron", "Sylvain Lefebvre" ]
We present a method to 3D print surfaces exhibiting a prescribed varying field of anisotropic appearance using only standard fused filament fabrication printers. This enables the fabrication of patterns triggering reflections similar to that of brushed metal with direct control over the directionality of the reflection...
journal
10.1145/3592412
official
null
null
10.1145/3592399
Computational Exploration of Multistable Elastic Knots
https://doi.org/10.1145/3592399
[ "Michele Vidulis", "Yingying Ren", "Julian Panetta", "Eitan Grinspun", "Mark Pauly" ]
We present an algorithmic approach to discover, study, and design multistable elastic knots. Elastic knots are physical realizations of closed curves embedded in 3-space. When endowed with the material thickness and bending resistance of a physical wire, these knots settle into equilibrium states that balance the force...
journal
10.1145/3592399
official
null
null
10.1145/3592433
3D Gaussian Splatting for Real-Time Radiance Field Rendering
https://doi.org/10.1145/3592433
[ "Bernhard Kerbl", "Georgios Kopanas", "Thomas Leimkuehler", "George Drettakis" ]
Radiance Field methods have recently revolutionized novel-view synthesis of scenes captured with multiple photos or videos. However, achieving high visual quality still requires neural networks that are costly to train and render, while recent faster methods inevitably trade off speed for quality. For unbounded and com...
journal
10.1145/3592433
official
2308.04079
title_snapshot
10.1145/3592144
∇-Prox: Differentiable Proximal Algorithm Modeling for Large-Scale Optimization
https://doi.org/10.1145/3592144
[ "Zeqiang Lai", "Kaixuan Wei", "Ying Fu", "Philipp Härtel", "Felix Heide" ]
Tasks across diverse application domains can be posed as large-scale optimization problems, these include graphics, vision, machine learning, imaging, health, scheduling, planning, and energy system forecasting. Independently of the application domain, proximal algorithms have emerged as a formal optimization method th...
journal
10.1145/3592144
official
null
null
10.1145/3592400
Boundary Value Caching for Walk on Spheres
https://doi.org/10.1145/3592400
[ "Bailey Miller", "Rohan Sawhney", "Keenan Crane", "Ioannis Gkioulekas" ]
Grid-free Monte Carlo methods such as walk on spheres can be used to solve elliptic partial differential equations without mesh generation or global solves. However, such methods independently estimate the solution at every point, and hence do not take advantage of the high spatial regularity of solutions to elliptic p...
journal
10.1145/3592400
official
2302.11825
title_snapshot
10.1145/3592118
Eventfulness for Interactive Video Alignment
https://doi.org/10.1145/3592118
[ "Jiatian Sun", "Longxiulin Deng", "Triantafyllos Afouras", "Andrew Owens", "Abe Davis" ]
Humans are remarkably sensitive to the alignment of visual events with other stimuli, which makes synchronization one of the hardest tasks in video editing. A key observation of our work is that most of the alignment we do involves salient localizable events that occur sparsely in time. By learning how to recognize the...
journal
10.1145/3592118
official
null
null
10.1145/3592142
Scratch-based Reflection Art via Differentiable Rendering
https://doi.org/10.1145/3592142
[ "Pengfei Shen", "Ruizeng Li", "Beibei Wang", "Ligang Liu" ]
The 3D visual optical arts create fascinating special effects by carefully designing interactions between objects and light sources. One of the essential types is 3D reflection art, which aims to create reflectors that can display different images when viewed from different directions. Existing works produce impressive...
journal
10.1145/3592142
official
null
null
10.1145/3592410
Galaxy Maps: Localized Foliations for Bijective Volumetric Mapping
https://doi.org/10.1145/3592410
[ "Steffen Hinderink", "Marcel Campen" ]
A method is presented to compute volumetric maps and parametrizations of objects over 3D domains. As a key feature, continuity and bijectivity are ensured by construction. Arbitrary objects of ball topology, represented as tetrahedral meshes, are supported. Arbitrary convex as well as star-shaped domains are supported....
journal
10.1145/3592410
official
null
null
10.1145/3592146
PolyStokes: A Polynomial Model Reduction Method for Viscous Fluid Simulation
https://doi.org/10.1145/3592146
[ "Jonathan Panuelos", "Ryan Goldade", "Eitan Grinspun", "David Levin", "Christopher Batty" ]
Standard liquid simulators apply operator splitting to independently solve for pressure and viscous stresses, a decoupling that induces incorrect free surface boundary conditions. Such methods are unable to simulate fluid phenomena reliant on the balance of pressure and viscous stresses, such as the liquid rope coil in...
journal
10.1145/3592146
official
null
null
10.1145/3592395
Example-based Motion Synthesis via Generative Motion Matching
https://doi.org/10.1145/3592395
[ "Weiyu Li", "Xuelin Chen", "Peizhuo Li", "Olga Sorkine-Hornung", "Baoquan Chen" ]
We present GenMM, a generative model that "mines" as many diverse motions as possible from a single or few example sequences. In stark contrast to existing data-driven methods, which typically require long offline training time, are prone to visual artifacts, and tend to fail on large and complex skeletons, GenMM inher...
journal
10.1145/3592395
official
2306.00378
title_snapshot
10.1145/3592444
Generative Design of Sheet Metal Structures
https://doi.org/10.1145/3592444
[ "Amir Barda", "Guy Tevet", "Adriana Schulz", "Amit Haim Bermano" ]
Sheet Metal (SM) fabrication is perhaps one of the most common metalworking technique. Despite its prevalence, SM design is manual and costly, with rigorous practices that restrict the search space, yielding suboptimal results. In contrast, we present a framework for the first automatic design of SM parts. Focusing on ...
journal
10.1145/3592444
official
null
null
10.1145/3592145
Rhizomorph: The Coordinated Function of Shoots and Roots
https://doi.org/10.1145/3592145
[ "Bosheng Li", "Jonathan Klein", "Dominik L. Michels", "Bedrich Benes", "Sören Pirk", "Wojtek Pałubicki" ]
Computer graphics has dedicated a considerable amount of effort to generating realistic models of trees and plants. Many existing methods leverage procedural modeling algorithms - that often consider biological findings - to generate branching structures of individual trees. While the realism of tree models generated b...
journal
10.1145/3592145
official
null
null
10.1145/3592115
A Contact Proxy Splitting Method for Lagrangian Solid-Fluid Coupling
https://doi.org/10.1145/3592115
[ "Tianyi Xie", "Minchen Li", "Yin Yang", "Chenfanfu Jiang" ]
We present a robust and efficient method for simulating Lagrangian solid-fluid coupling based on a new operator splitting strategy. We use variational formulations to approximate fluid properties and solid-fluid interactions, and introduce a unified two-way coupling formulation for SPH fluids and FEM solids using inter...
journal
10.1145/3592115
official
2301.01976
title_snapshot
10.1145/3592452
Topology driven approximation to rational surface-surface intersection via interval algebraic topology analysis
https://doi.org/10.1145/3592452
[ "Jin-San Cheng", "Bingwei Zhang", "Yikun Xiao", "Ming Li" ]
Computing the intersection between two parametric surfaces (SSI) is one of the most fundamental problems in geometric and solid modeling. Maintaining the SSI topology is critical to its computation robustness. We propose a topology-driven hybrid symbolic-numeric framework to approximate rational parametric surface-surf...
journal
10.1145/3592452
official
null
null
10.1145/3592094
DreamFace: Progressive Generation of Animatable 3D Faces under Text Guidance
https://doi.org/10.1145/3592094
[ "Longwen Zhang", "Qiwei Qiu", "Hongyang Lin", "Qixuan Zhang", "Cheng Shi", "Wei Yang", "Ye Shi", "Sibei Yang", "Lan Xu", "Jingyi Yu" ]
Emerging Metaverse applications demand accessible, accurate and easy-to-use tools for 3D digital human creations in order to depict different cultures and societies as if in the physical world. Recent large-scale vision-language advances pave the way for novices to conveniently customize 3D content. However, the genera...
journal
10.1145/3592094
official
2304.03117
title_snapshot
10.1145/3592131
OctFormer: Octree-based Transformers for 3D Point Clouds
https://doi.org/10.1145/3592131
[ "Peng-Shuai Wang" ]
We propose octree-based transformers, named OctFormer, for 3D point cloud learning. OctFormer can not only serve as a general and effective backbone for 3D point cloud segmentation and object detection but also have linear complexity and is scalable for large-scale point clouds. The key challenge in applying transforme...
journal
10.1145/3592131
official
2305.03045
title_snapshot
10.1145/3592449
Semantics and Scheduling for Machine Knitting Compilers
https://doi.org/10.1145/3592449
[ "Jenny Lin", "Vidya Narayanan", "Yuka Ikarashi", "Jonathan Ragan-Kelley", "Gilbert Bernstein", "James Mccann" ]
Machine knitting is a well-established fabrication technique for complex soft objects, and both companies and researchers have developed tools for generating machine knitting patterns. However, existing representations for machine knitted objects are incomplete (do not cover the complete domain of machine knittable obj...
journal
10.1145/3592449
official
null
null
10.1145/3592405
ColorfulCurves: Palette-Aware Lightness Control and Color Editing via Sparse Optimization
https://doi.org/10.1145/3592405
[ "Cheng-Kang Ted Chao", "Jason Klein", "Jianchao Tan", "Jose Echevarria", "Yotam Gingold" ]
Color editing in images often consists of two main tasks: changing hue and saturation, and editing lightness or tone curves. State-of-the-art palette-based recoloring approaches entangle these two tasks. A user's only lightness control is changing the lightness of individual palette colors. This is inferior to state-of...
journal
10.1145/3592405
official
null
null
10.1145/3592120
Pyramid Texture Filtering
https://doi.org/10.1145/3592120
[ "Qing Zhang", "Hao Jiang", "Yongwei Nie", "Wei-Shi Zheng" ]
We present a simple but effective technique to smooth out textures while preserving the prominent structures. Our method is built upon a key observation---the coarsest level in a Gaussian pyramid often naturally eliminates textures and summarizes the main image structures. This inspires our central idea for texture fil...
journal
10.1145/3592120
official
2305.06525
title_snapshot
10.1145/3592125
B-rep Matching for Collaborating Across CAD Systems
https://doi.org/10.1145/3592125
[ "Benjamin Jones", "James Noeckel", "Milin Kodnongbua", "Ilya Baran", "Adriana Schulz" ]
Large Computer-Aided Design (CAD) projects usually require collaboration across many different CAD systems as well as applications that interoperate with them for manufacturing, visualization, or simulation. A fundamental barrier to such collaborations is the ability to refer to parts of the geometry (such as a specifi...
journal
10.1145/3592125
official
2306.03169
title_snapshot
10.1145/3592128
Image vectorization and editing via linear gradient layer decomposition
https://doi.org/10.1145/3592128
[ "Zheng-Jun Du", "Liang-Fu Kang", "Jianchao Tan", "Yotam Gingold", "Kun Xu" ]
A key advantage of vector graphics over raster graphics is their editability. For example, linear gradients define a spatially varying color fill with a few intuitive parameters, which are ubiquitously supported in standard vector graphics formats and libraries. By layering regions filled with linear gradients, complex...
journal
10.1145/3592128
official
null
null
10.1145/3592129
Globally Consistent Normal Orientation for Point Clouds by Regularizing the Winding-Number Field
https://doi.org/10.1145/3592129
[ "Rui Xu", "Zhiyang Dou", "Ningna Wang", "Shiqing Xin", "Shuangmin Chen", "Mingyan Jiang", "Xiaohu Guo", "Wenping Wang", "Changhe Tu" ]
Estimating normals with globally consistent orientations for a raw point cloud has many downstream geometry processing applications. Despite tremendous efforts in the past decades, it remains challenging to deal with an unoriented point cloud with various imperfections, particularly in the presence of data sparsity cou...
journal
10.1145/3592129
official
2304.11605
title_snapshot
10.1145/3592121
Coupling Conduction, Convection and Radiative Transfer in a Single Path-Space: Application to Infrared Rendering
https://doi.org/10.1145/3592121
[ "Mégane Bati", "Stéphane Blanco", "Christophe Coustet", "Vincent Eymet", "Vincent Forest", "Richard Fournier", "Jacques Gautrais", "Nicolas Mellado", "Mathias Paulin", "Benjamin Piaud" ]
In the past decades, Monte Carlo methods have shown their ability to solve PDEs, independently of the dimensionality of the integration domain and for different use-cases (e.g. light transport, geometry processing, physics simulation). Specifically, the path-space formulation of transport equations is a key ingredient ...
journal
10.1145/3592121
official
null
null
10.1145/3592398
Walk on Stars: A Grid-Free Monte Carlo Method for PDEs with Neumann Boundary Conditions
https://doi.org/10.1145/3592398
[ "Rohan Sawhney", "Bailey Miller", "Ioannis Gkioulekas", "Keenan Crane" ]
Grid-free Monte Carlo methods based on the walk on spheres (WoS) algorithm solve fundamental partial differential equations (PDEs) like the Poisson equation without discretizing the problem domain or approximating functions in a finite basis. Such methods hence avoid aliasing in the solution, and evade the many challen...
journal
10.1145/3592398
official
2302.11815
title_snapshot
10.1145/3592106
CT2Hair: High-Fidelity 3D Hair Modeling using Computed Tomography
https://doi.org/10.1145/3592106
[ "Yuefan Shen", "Shunsuke Saito", "Ziyan Wang", "Olivier Maury", "Chenglei Wu", "Jessica Hodgins", "Youyi Zheng", "Giljoo Nam" ]
We introduce CT2Hair, a fully automatic framework for creating high-fidelity 3D hair models that are suitable for use in downstream graphics applications. Our approach utilizes real-world hair wigs as input, and is able to reconstruct hair strands for a wide range of hair styles. Our method leverages computed tomograph...
journal
10.1145/3592106
official
null
null
10.1145/3592111
Language-based Photo Color Adjustment for Graphic Designs
https://doi.org/10.1145/3592111
[ "Zhenwei Wang", "Nanxuan Zhao", "Gerhard Hancke", "Rynson W. H. Lau" ]
Adjusting the photo color to associate with some design elements is an essential way for a graphic design to effectively deliver its message and make it aesthetically pleasing. However, existing tools and previous works face a dilemma between the ease of use and level of expressiveness. To this end, we introduce an int...
journal
10.1145/3592111
official
2308.03059
title_snapshot
10.1145/3592403
Surface Simplification using Intrinsic Error Metrics
https://doi.org/10.1145/3592403
[ "Hsueh-Ti Derek Liu", "Mark Gillespie", "Benjamin Chislett", "Nicholas Sharp", "Alec Jacobson", "Keenan Crane" ]
This paper describes a method for fast simplification of surface meshes. Whereas past methods focus on visual appearance, our goal is to solve equations on the surface. Hence, rather than approximate the extrinsic geometry, we construct a coarse intrinsic triangulation of the input domain. In the spirit of the quadric ...
journal
10.1145/3592403
official
2305.06410
title_snapshot
10.1145/3592446
A Practical Wave Optics Reflection Model for Hair and Fur
https://doi.org/10.1145/3592446
[ "Mengqi Xia", "Bruce Walter", "Christophe Hery", "Olivier Maury", "Eric Michielssen", "Steve Marschner" ]
Traditional fiber scattering models, based on ray optics, are missing some important visual aspects of fiber appearance. Previous work [Xia et al. 2020] on wave scattering from ideal extrusions demonstrated that diffraction produces strong forward scattering and colorful effects that are missing from ray-based models. ...
journal
10.1145/3592446
official
null
null
10.1145/3592428
In-Timestep Remeshing for Contacting Elastodynamics
https://doi.org/10.1145/3592428
[ "Zachary Ferguson", "Teseo Schneider", "Danny Kaufman", "Daniele Panozzo" ]
We propose In-Timestep Remeshing, a fully coupled, adaptive meshing algorithm for contacting elastodynamics where remeshing steps are tightly integrated, implicitly, within the timestep solve. Our algorithm refines and coarsens the domain automatically by measuring physical energy changes within each ongoing timestep s...
journal
10.1145/3592428
official
null
null
10.1145/3592445
Efficient Embeddings in Exact Arithmetic
https://doi.org/10.1145/3592445
[ "Ugo Finnendahl", "Dimitrios Bogiokas", "Pablo Robles Cervantes", "Marc Alexa" ]
We provide a set of tools for generating planar embeddings of triangulated topological spheres. The algorithms make use of Schnyder labelings and realizers. A new representation of the realizer based on dual trees leads to a simple linear time algorithm mapping from weights per triangle to barycentric coordinates and, ...
journal
10.1145/3592445
official
null
null
10.1145/3592423
FactorMatte: Redefining Video Matting for Re-Composition Tasks
https://doi.org/10.1145/3592423
[ "Zeqi Gu", "Wenqi Xian", "Noah Snavely", "Abe Davis" ]
We propose Factor Matting , an alternative formulation of the video matting problem in terms of counterfactual video synthesis that is better suited for re-composition tasks. The goal of factor matting is to separate the contents of a video into independent components, each representing a counterfactual version of the ...
journal
10.1145/3592423
official
2211.02145
title_snapshot
10.1145/3592393
Deployable strip structures
https://doi.org/10.1145/3592393
[ "Daoming Liu", "Davide Pellis", "Yu-Chou Chiang", "Florian Rist", "Johannes Wallner", "Helmut Pottmann" ]
We introduce the new concept of C-mesh to capture kinetic structures that can be deployed from a collapsed state. Quadrilateral C-meshes enjoy rich geometry and surprising relations with differential geometry: A structure that collapses onto a flat and straight strip corresponds to a Chebyshev net of curves on a surfac...
journal
10.1145/3592393
official
null
null
10.1145/3592413
VideoDoodles: Hand-Drawn Animations on Videos with Scene-Aware Canvases
https://doi.org/10.1145/3592413
[ "Emilie Yu", "Kevin Blackburn-Matzen", "Cuong Nguyen", "Oliver Wang", "Rubaiat Habib Kazi", "Adrien Bousseau" ]
We present an interactive system to ease the creation of so-called video doodles - videos on which artists insert hand-drawn animations for entertainment or educational purposes. Video doodles are challenging to create because to be convincing, the inserted drawings must appear as if they were part of the captured scen...
journal
10.1145/3592413
official
null
null
10.1145/3592459
GREIL-Crowds: Crowd Simulation with Deep Reinforcement Learning and Examples
https://doi.org/10.1145/3592459
[ "Panayiotis Charalambous", "Julien Pettre", "Vassilis Vassiliades", "Yiorgos Chrysanthou", "Nuria Pelechano" ]
Simulating crowds with realistic behaviors is a difficult but very important task for a variety of applications. Quantifying how a person balances between different conflicting criteria such as goal seeking, collision avoidance and moving within a group is not intuitive, especially if we consider that behaviors differ ...
journal
10.1145/3592459
official
null
null
10.1145/3592140
Evolutionary Piecewise Developable Approximations
https://doi.org/10.1145/3592140
[ "Zheng-Yu Zhao", "Mo Li", "Zheng Zhang", "Qing Fang", "Ligang Liu", "Xiao-Ming Fu" ]
We propose a novel method to compute high-quality piecewise developable approximations for triangular meshes. Central to our approach is an evolutionary genetic algorithm for optimizing the combinatorial and discontinuous fitness function, including the approximation error, the number of patches, the patch boundary len...
journal
10.1145/3592140
official
null
null
10.1145/3592454
DOC: Differentiable Optimal Control for Retargeting Motions onto Legged Robots
https://doi.org/10.1145/3592454
[ "Ruben Grandia", "Farbod Farshidian", "Espen Knoop", "Christian Schumacher", "Marco Hutter", "Moritz Bächer" ]
Legged robots are designed to perform highly dynamic motions. However, it remains challenging for users to retarget expressive motions onto these complex systems. In this paper, we present a Differentiable Optimal Control (DOC) framework that facilitates the transfer of rich motions from either animals or animations on...
journal
10.1145/3592454
official
null
null
10.1145/3592448
Temporal Set Inversion for Animated Implicits
https://doi.org/10.1145/3592448
[ "Kavosh Jazar", "Paul G. Kry" ]
We exploit the temporal coherence of closed-form animated implicit surfaces by locally re-evaluating an octree-like discretization of the implicit field only as and where is necessary to rigorously maintain a global error invariant over time, thereby saving resources in static or slowly-evolving areas far from the moti...
journal
10.1145/3592448
official
null
null
10.1145/3592102
A Temporal Coherent Topology Optimization Approach for Assembly Planning of Bespoke Frame Structures
https://doi.org/10.1145/3592102
[ "Ziqi Wang", "Florian Kennel-Maushart", "Yijiang Huang", "Bernhard Thomaszewski", "Stelian Coros" ]
We present a computational framework for planning the assembly sequence of bespoke frame structures. Frame structures are one of the most commonly used structural systems in modern architecture, providing resistance to gravitational and external loads. Building frame structures requires traversing through several parti...
journal
10.1145/3592102
official
null
null
10.1145/3592100
SketchFaceNeRF: Sketch-based Facial Generation and Editing in Neural Radiance Fields
https://doi.org/10.1145/3592100
[ "Lin Gao", "Feng-Lin Liu", "Shu-Yu Chen", "Kaiwen Jiang", "Chun-Peng Li", "Yu-Kun Lai", "Hongbo Fu" ]
Realistic 3D facial generation based on Neural Radiance Fields (NeRFs) from 2D sketches benefits various applications. Despite the high realism of free-view rendering results of NeRFs, it is tedious and difficult for artists to achieve detailed 3D control and manipulation. Meanwhile, due to its conciseness and expressi...
journal
10.1145/3592100
official
null
null
10.1145/3592456
Bodyformer: Semantics-guided 3D Body Gesture Synthesis with Transformer
https://doi.org/10.1145/3592456
[ "Kunkun Pang", "Dafei Qin", "Yingruo Fan", "Julian Habekost", "Takaaki Shiratori", "Junichi Yamagishi", "Taku Komura" ]
Automatic gesture synthesis from speech is a topic that has attracted researchers for applications in remote communication, video games and Metaverse. Learning the mapping between speech and 3D full-body gestures is difficult due to the stochastic nature of the problem and the lack of a rich cross-modal dataset that is...
journal
10.1145/3592456
official
2310.06851
title_snapshot
10.1145/3592443
Neural Prefiltering for Correlation-Aware Levels of Detail
https://doi.org/10.1145/3592443
[ "Philippe Weier", "Tobias Zirr", "Anton Kaplanyan", "Ling-Qi Yan", "Philipp Slusallek" ]
We introduce a practical general-purpose neural appearance filtering pipeline for physically-based rendering. We tackle the previously difficult challenge of aggregating visibility across many levels of detail from local information only, without relying on learning visibility for the entire scene. The high adaptivity ...
journal
10.1145/3592443
official
null
null
10.1145/3592432
Skin-Screen: A Computational Fabrication Framework for Color Tattoos
https://doi.org/10.1145/3592432
[ "Michal Piovarci", "Alexandre Chapiro", "Bernd Bickel" ]
Tattoos are a highly popular medium, with both artistic and medical applications. Although the mechanical process of tattoo application has evolved historically, the results are reliant on the artisanal skill of the artist. This can be especially challenging for some skin tones, or in cases where artists lack experienc...
journal
10.1145/3592432
official
null
null
10.1145/3592430
Flexible Isosurface Extraction for Gradient-Based Mesh Optimization
https://doi.org/10.1145/3592430
[ "Tianchang Shen", "Jacob Munkberg", "Jon Hasselgren", "Kangxue Yin", "Zian Wang", "Wenzheng Chen", "Zan Gojcic", "Sanja Fidler", "Nicholas Sharp", "Jun Gao" ]
This work considers gradient-based mesh optimization, where we iteratively optimize for a 3D surface mesh by representing it as the isosurface of a scalar field, an increasingly common paradigm in applications including photogrammetry, generative modeling, and inverse physics. Existing implementations adapt classic iso...
journal
10.1145/3592430
official
2308.05371
title_snapshot
10.1145/3592112
Beyond Chainmail: Computational Modeling of Discrete Interlocking Materials
https://doi.org/10.1145/3592112
[ "Pengbin Tang", "Stelian Coros", "Bernhard Thomaszewski" ]
We present a method for computational modeling, mechanical characterization, and macro-scale simulation of discrete interlocking materials (DIM)---3D-printed chainmail fabrics made of quasi-rigid interlocking elements. Unlike conventional elastic materials for which deformation and restoring force are directly coupled,...
journal
10.1145/3592112
official
null
null
10.1145/3592391
The Visual Language of Fabrics
https://doi.org/10.1145/3592391
[ "Valentin Deschaintre", "Julia Guerrero-Viu", "Diego Gutierrez", "Tamy Boubekeur", "Belen Masia" ]
We introduce text2fabric, a novel dataset that links free-text descriptions to various fabric materials. The dataset comprises 15,000 natural language descriptions associated to 3,000 corresponding images of fabric materials. Traditionally, material descriptions come in the form of tags/keywords, which limits their exp...
journal
10.1145/3592391
official
2307.13681
title_snapshot
10.1145/3592108
Potentially Visible Hidden-Volume Rendering for Multi-View Warping
https://doi.org/10.1145/3592108
[ "Janghun Kim", "Sungkil Lee" ]
This paper presents the model and rendering algorithm of Potentially Visible Hidden Volumes (PVHVs) for multi-view image warping. PVHVs are 3D volumes that are occluded at a known source view, but potentially visible at novel views. Given a bound of novel views, we define PVHVs using the edges of foreground fragments f...
journal
10.1145/3592108
official
null
null
10.1145/3592136
Shortest Path to Boundary for Self-Intersecting Meshes
https://doi.org/10.1145/3592136
[ "He Chen", "Elie Diaz", "Cem Yuksel" ]
We introduce a method for efficiently computing the exact shortest path to the boundary of a mesh from a given internal point in the presence of self-intersections. We provide a formal definition of shortest boundary paths for self-intersecting objects and present a robust algorithm for computing the actual shortest bo...
journal
10.1145/3592136
official
2305.09778
title_snapshot
10.1145/3592411
PCBend: Light Up Your 3D Shapes With Foldable Circuit Boards
https://doi.org/10.1145/3592411
[ "Marco Freire", "Manas Bhargava", "Camille Schreck", "Pierre-Alexandre Hugron", "Bernd Bickel", "Sylvain Lefebvre" ]
We propose a computational design approach for covering a surface with individually addressable RGB LEDs, effectively forming a low-resolution surface screen. To achieve a low-cost and scalable approach, we propose creating designs from flat PCB panels bent in-place along the surface of a 3D printed core. Working with ...
journal
10.1145/3592411
official
null
null
10.1145/3592424
Improved Water Sound Synthesis using Coupled Bubbles
https://doi.org/10.1145/3592424
[ "Kangrui Xue", "Ryan M. Aronson", "Jui-Hsien Wang", "Timothy R. Langlois", "Doug L. James" ]
We introduce a practical framework for synthesizing bubble-based water sounds that captures the rich inter-bubble coupling effects responsible for low-frequency acoustic emissions from bubble clouds. We propose coupled-bubble oscillator models with regularized singularities, and techniques to reduce the computational c...
journal
10.1145/3592424
official
null
null
10.1145/3592414
A Full-Wave Reference Simulator for Computing Surface Reflectance
https://doi.org/10.1145/3592414
[ "Yunchen Yu", "Mengqi Xia", "Bruce Walter", "Eric Michielssen", "Steve Marschner" ]
Computing light reflection from rough surfaces is an important topic in computer graphics. Reflection models developed based on geometric optics fail to capture wave effects such as diffraction and interference, while existing models based on physical optics approximations give erroneous predictions under many circumst...
journal
10.1145/3592414
official
null
null
10.1145/3592113
ScanBot: Autonomous Reconstruction via Deep Reinforcement Learning
https://doi.org/10.1145/3592113
[ "Hezhi Cao", "Xi Xia", "Guan Wu", "Ruizhen Hu", "Ligang Liu" ]
Autoscanning of an unknown environment is the key to many AR/VR and robotic applications. However, autonomous reconstruction with both high efficiency and quality remains a challenging problem. In this work, we propose a reconstruction-oriented autoscanning approach, called ScanBot, which utilizes hierarchical deep rei...
journal
10.1145/3592113
official
null
null
10.1145/3592460
Real-Time Radiance Fields for Single-Image Portrait View Synthesis
https://doi.org/10.1145/3592460
[ "Alex Trevithick", "Matthew Chan", "Michael Stengel", "Eric Chan", "Chao Liu", "Zhiding Yu", "Sameh Khamis", "Manmohan Chandraker", "Ravi Ramamoorthi", "Koki Nagano" ]
We present a one-shot method to infer and render a photorealistic 3D representation from a single unposed image (e.g., face portrait) in real-time. Given a single RGB input, our image encoder directly predicts a canonical triplane representation of a neural radiance field for 3D-aware novel view synthesis via volume re...
journal
10.1145/3592460
official
2305.02310
title_snapshot
10.1145/3592415
HumanRF: High-Fidelity Neural Radiance Fields for Humans in Motion
https://doi.org/10.1145/3592415
[ "Mustafa Işık", "Martin Rünz", "Markos Georgopoulos", "Taras Khakhulin", "Jonathan Starck", "Lourdes Agapito", "Matthias Nießner" ]
Representing human performance at high-fidelity is an essential building block in diverse applications, such as film production, computer games or videoconferencing. To close the gap to production-level quality, we introduce HumanRF 1 , a 4D dynamic neural scene representation that captures full-body appearance in moti...
journal
10.1145/3592415
official
2305.06356
title_snapshot
10.1145/3592435
Revisiting controlled mixture sampling for rendering applications
https://doi.org/10.1145/3592435
[ "Qingqin Hua", "Pascal Grittmann", "Philipp Slusallek" ]
Monte Carlo rendering makes heavy use of mixture sampling and multiple importance sampling (MIS). Previous work has shown that control variates can be used to make such mixtures more efficient and more robust. However, the existing approaches failed to yield practical applications, chiefly because their underlying theo...
journal
10.1145/3592435
official
null
null
10.1145/3592427
An Extensible, Data-Oriented Architecture for High-Performance, Many-World Simulation
https://doi.org/10.1145/3592427
[ "Brennan Shacklett", "Luc Guy Rosenzweig", "Zhiqiang Xie", "Bidipta Sarkar", "Andrew Szot", "Erik Wijmans", "Vladlen Koltun", "Dhruv Batra", "Kayvon Fatahalian" ]
Training AI agents to perform complex tasks in simulated worlds requires millions to billions of steps of experience. To achieve high performance, today's fastest simulators for training AI agents adopt the idea of batch simulation: using a single simulation engine to simultaneously step many environments in parallel. ...
journal
10.1145/3592427
official
null
null
10.1145/3592421
Expansion Cones: A Progressive Volumetric Mapping Framework
https://doi.org/10.1145/3592421
[ "Valentin Zénon Nigolian", "Marcel Campen", "David Bommes" ]
Volumetric mapping is a ubiquitous and difficult problem in Geometry Processing and has been the subject of research in numerous and various directions. While several methods show encouraging results, the field still lacks a general approach with guarantees regarding map bijectivity. Through this work, we aim at openin...
journal
10.1145/3592421
official
null
null
10.1145/3592396
Robust Low-Poly Meshing for General 3D Models
https://doi.org/10.1145/3592396
[ "Zhen Chen", "Zherong Pan", "Kui Wu", "Etienne Vouga", "Xifeng Gao" ]
We propose a robust re-meshing approach that can automatically generate visual-preserving low-poly meshes for any high-poly models found in the wild. Our method can be seamlessly integrated into current mesh-based 3D asset production pipelines. Given an input high-poly, our method proceeds in two stages: 1) Robustly ex...
journal
10.1145/3592396
official
null
null
10.1145/3592439
P2M: A Fast Solver for Querying Distance from Point to Mesh Surface
https://doi.org/10.1145/3592439
[ "Chen Zong", "Jiacheng Xu", "Jiantao Song", "Shuangmin Chen", "Shiqing Xin", "Wenping Wang", "Changhe Tu" ]
Most of the existing point-to-mesh distance query solvers, such as Proximity Query Package (PQP), Embree and Fast Closest Point Query (FCPW), are based on bounding volume hierarchy (BVH). The hierarchical organizational structure enables one to eliminate the vast majority of triangles that do not help find the closest ...
journal
10.1145/3592439
official
2308.16084
title_snapshot
10.1145/3592109
A Practical Walk-on-Boundary Method for Boundary Value Problems
https://doi.org/10.1145/3592109
[ "Ryusuke Sugimoto", "Terry Chen", "Yiti Jiang", "Christopher Batty", "Toshiya Hachisuka" ]
We introduce the walk-on-boundary (WoB) method for solving boundary value problems to computer graphics. WoB is a grid-free Monte Carlo solver for certain classes of second order partial differential equations. A similar Monte Carlo solver, the walk-on-spheres (WoS) method, has been recently popularized in computer gra...
journal
10.1145/3592109
official
2305.04403
title_snapshot
10.1145/3592438
Seeing Photons in Color
https://doi.org/10.1145/3592438
[ "Sizhuo Ma", "Varun Sundar", "Paul Mos", "Claudio Bruschini", "Edoardo Charbon", "Mohit Gupta" ]
Megapixel single-photon avalanche diode (SPAD) arrays have been developed recently, opening up the possibility of deploying SPADs as generalpurpose passive cameras for photography and computer vision. However, most previous work on SPADs has been limited to monochrome imaging. We propose a computational photography tec...
journal
10.1145/3592438
official
null
null
10.1145/3592457
Locally Meshable Frame Fields
https://doi.org/10.1145/3592457
[ "Heng Liu", "David Bommes" ]
The main robustness issue of state-of-the-art frame field based hexahedral mesh generation algorithms originates from non-meshable topological configurations, which do not admit the construction of an integer-grid map but frequently occur in smooth frame fields. In this article, we investigate the topology of frame fie...
journal
10.1145/3592457
official
null
null
10.1145/3592419
ETER: Elastic Tessellation for Real-Time Pixel-Accurate Rendering of Large-Scale NURBS Models
https://doi.org/10.1145/3592419
[ "Ruicheng Xiong", "Yang Lu", "Cong Chen", "Jiaming Zhu", "Yajun Zeng", "Ligang Liu" ]
We present ETER, an elastic tessellation framework for rendering large-scale NURBS models with pixel-accurate and crack-free quality at real-time frame rates. We propose a highly parallel adaptive tessellation algorithm to achieve pixel accuracy, measured by the screen space error between the exact surface and its tria...
journal
10.1145/3592419
official
null
null
10.1145/3592099
EgoLocate: Real-time Motion Capture, Localization, and Mapping with Sparse Body-mounted Sensors
https://doi.org/10.1145/3592099
[ "Xinyu Yi", "Yuxiao Zhou", "Marc Habermann", "Vladislav Golyanik", "Shaohua Pan", "Christian Theobalt", "Feng Xu" ]
Human and environment sensing are two important topics in Computer Vision and Graphics. Human motion is often captured by inertial sensors, while the environment is mostly reconstructed using cameras. We integrate the two techniques together in EgoLocate, a system that simultaneously performs human motion capture (moca...
journal
10.1145/3592099
official
2305.01599
title_snapshot
10.1145/3592392
Semi-supervised reference-based sketch extraction using a contrastive learning framework
https://doi.org/10.1145/3592392
[ "Chang Wook Seo", "Amirsaman Ashtari", "Junyong Noh" ]
Sketches reflect the drawing style of individual artists; therefore, it is important to consider their unique styles when extracting sketches from color images for various applications. Unfortunately, most existing sketch extraction methods are designed to extract sketches of a single style. Although there have been so...
journal
10.1145/3592392
official
2407.14026
title_snapshot
10.1145/3592127
Film Grain Rendering and Parameter Estimation
https://doi.org/10.1145/3592127
[ "Kaixuan Zhang", "Jingxian Wang", "Daizong Tian", "Thrasyvoulos N. Pappas" ]
We propose a realistic film grain rendering algorithm based on statistics derived analytically from a physics-based Boolean model that Newson et al. adopted for Monte Carlo simulations of film grain. We also propose formulas for estimation of the model parameters from scanned film grain images. The proposed rendering i...
journal
10.1145/3592127
official
null
null
10.1145/3592137
Meso-Facets for Goniochromatic 3D Printing
https://doi.org/10.1145/3592137
[ "Lubna Abu Rmaileh", "Alan Brunton" ]
Goniochromatic materials and objects appear to have different colors depending on viewing direction. This occurs in nature, such as in wood or minerals, and in human-made objects such as metal and effect pigments. In this paper, we propose algorithms to control multi-material 3D printers to produce goniochromatic effec...
journal
10.1145/3592137
official
null
null
10.1145/3592416
ShapeCoder: Discovering Abstractions for Visual Programs from Unstructured Primitives
https://doi.org/10.1145/3592416
[ "R. Kenny Jones", "Paul Guerrero", "Niloy J. Mitra", "Daniel Ritchie" ]
We introduce ShapeCoder, the first system capable of taking a dataset of shapes, represented with unstructured primitives, and jointly discovering (i) useful abstraction functions and (ii) programs that use these abstractions to explain the input shapes. The discovered abstractions capture common patterns (both structu...
journal
10.1145/3592416
official
2305.05661
title_snapshot
10.1145/3592097
GestureDiffuCLIP: Gesture Diffusion Model with CLIP Latents
https://doi.org/10.1145/3592097
[ "Tenglong Ao", "Zeyi Zhang", "Libin Liu" ]
The automatic generation of stylized co-speech gestures has recently received increasing attention. Previous systems typically allow style control via predefined text labels or example motion clips, which are often not flexible enough to convey user intent accurately. In this work, we present GestureDiffuCLIP, a neural...
journal
10.1145/3592097
official
2303.14613
title_snapshot
10.1145/3592095
Masonry Shell Structures with Discrete Equivalence Classes
https://doi.org/10.1145/3592095
[ "Rulin Chen", "Pengyun Qiu", "Peng Song", "Bailin Deng", "Ziqi Wang", "Ying He" ]
This paper proposes a method to model masonry shell structures where the shell elements fall into a set of discrete equivalence classes. Such shell structure can reduce the fabrication cost and simplify the physical construction due to reuse of a few template shell elements. Given a freeform surface, our goal is to gen...
journal
10.1145/3592095
official
null
null
10.1145/3592425
Anatomically Detailed Simulation of Human Torso
https://doi.org/10.1145/3592425
[ "Seunghwan Lee", "Yifeng Jiang", "C. Karen Liu" ]
Many existing digital human models approximate the human skeletal system using rigid bodies connected by rotational joints. While the simplification is considered acceptable for legs and arms, it significantly lacks fidelity to model rich torso movements in common activities such as dancing, Yoga, and various sports. R...
journal
10.1145/3592425
official
2305.04995
title_snapshot
10.1145/3592437
Min-Deviation-Flow in Bi-directed Graphs for T-Mesh Quantization
https://doi.org/10.1145/3592437
[ "Martin Heistermann", "Jethro Warnett", "David Bommes" ]
Subdividing non-conforming T-mesh layouts into conforming quadrangular meshes is a core component of state-of-the-art (re-)meshing methods. Typically, the required constrained assignment of integer lengths to T-Mesh edges is left to generic branch-and-cut solvers, greedy heuristics, or a combination of the two. This ei...
journal
10.1145/3592437
official
null
null
10.1145/3592141
Neural Volumetric Reconstruction for Coherent Synthetic Aperture Sonar
https://doi.org/10.1145/3592141
[ "Albert Reed", "Juhyeon Kim", "Thomas Blanford", "Adithya Pediredla", "Daniel Brown", "Suren Jayasuriya" ]
Synthetic aperture sonar (SAS) measures a scene from multiple views in order to increase the resolution of reconstructed imagery. Image reconstruction methods for SAS coherently combine measurements to focus acoustic energy onto the scene. However, image formation is typically under-constrained due to a limited number ...
journal
10.1145/3592141
official
2306.09909
title_snapshot
10.1145/3592455
NeRSemble: Multi-view Radiance Field Reconstruction of Human Heads
https://doi.org/10.1145/3592455
[ "Tobias Kirschstein", "Shenhan Qian", "Simon Giebenhain", "Tim Walter", "Matthias Nießner" ]
We focus on reconstructing high-fidelity radiance fields of human heads, capturing their animations over time, and synthesizing re-renderings from novel viewpoints at arbitrary time steps. To this end, we propose a new multi-view capture setup composed of 16 calibrated machine vision cameras that record time-synchroniz...
journal
10.1145/3592455
official
2305.03027
title_snapshot
10.1145/3592101
AvatarReX: Real-time Expressive Full-body Avatars
https://doi.org/10.1145/3592101
[ "Zerong Zheng", "Xiaochen Zhao", "Hongwen Zhang", "Boning Liu", "Yebin Liu" ]
We present AvatarReX, a new method for learning NeRF-based full-body avatars from video data. The learnt avatar not only provides expressive control of the body, hands and the face together, but also supports real-time animation and rendering. To this end, we propose a compositional avatar representation, where the bod...
journal
10.1145/3592101
official
2305.04789
title_snapshot
10.1145/3592418
Patternshop: Editing Point Patterns by Image Manipulation
https://doi.org/10.1145/3592418
[ "Xingchang Huang", "Tobias Ritschel", "Hans-Peter Seidel", "Pooran Memari", "Gurprit Singh" ]
Point patterns are characterized by their density and correlation. While spatial variation of density is well-understood, analysis and synthesis of spatially-varying correlation is an open challenge. No tools are available to intuitively edit such point patterns, primarily due to the lack of a compact representation fo...
journal
10.1145/3592418
official
2308.10517
title_snapshot
10.1145/3592441
Étendue Expansion in Holographic Near Eye Displays through Sparse Eye-box Generation Using Lens Array Eyepiece
https://doi.org/10.1145/3592441
[ "Minseok Chae", "Kiseung Bang", "Dongheon Yoo", "Yoonchan Jeong" ]
In this paper, we present a novel method the étendue expansion of near-eye holographic displays through the generation of a sparse eye-box. Conventional holographic near-eye displays have suffered from narrow field of view or narrow eye-box due to the limited étendue supported by a spatial light modulator. We focus on ...
journal
10.1145/3592441
official
null
null
10.1145/3592104
Second-order Stencil Descent for Interior-point Hyperelasticity
https://doi.org/10.1145/3592104
[ "Lei Lan", "Minchen Li", "Chenfanfu Jiang", "Huamin Wang", "Yin Yang" ]
In this paper, we present a GPU algorithm for finite element hyperelastic simulation. We show that the interior-point method, known to be effective for robust collision resolution, can be coupled with non-Newton procedures and be massively sped up on the GPU. Newton's method has been widely chosen for the interior-poin...
journal
10.1145/3592104
official
null
null
10.1145/3592133
Encoder-based Domain Tuning for Fast Personalization of Text-to-Image Models
https://doi.org/10.1145/3592133
[ "Rinon Gal", "Moab Arar", "Yuval Atzmon", "Amit H. Bermano", "Gal Chechik", "Daniel Cohen-Or" ]
Text-to-image personalization aims to teach a pre-trained diffusion model to reason about novel, user provided concepts, embedding them into new scenes guided by natural language prompts. However, current personalization approaches struggle with lengthy training times, high storage requirements or loss of identity. To ...
journal
10.1145/3592133
official
2302.12228
title_snapshot
10.1145/3592450
Blended Latent Diffusion
https://doi.org/10.1145/3592450
[ "Omri Avrahami", "Ohad Fried", "Dani Lischinski" ]
The tremendous progress in neural image generation, coupled with the emergence of seemingly omnipotent vision-language models has finally enabled text-based interfaces for creating and editing images. Handling generic images requires a diverse underlying generative model, hence the latest works utilize diffusion models...
journal
10.1145/3592450
official
2206.02779
title_snapshot
10.1145/3592426
MERF: Memory-Efficient Radiance Fields for Real-time View Synthesis in Unbounded Scenes
https://doi.org/10.1145/3592426
[ "Christian Reiser", "Rick Szeliski", "Dor Verbin", "Pratul Srinivasan", "Ben Mildenhall", "Andreas Geiger", "Jon Barron", "Peter Hedman" ]
Neural radiance fields enable state-of-the-art photorealistic view synthesis. However, existing radiance field representations are either too compute-intensive for real-time rendering or require too much memory to scale to large scenes. We present a Memory-Efficient Radiance Field (MERF) representation that achieves re...
journal
10.1145/3592426
official
2302.12249
title_snapshot
10.1145/3592096
Generating Activity Snippets by Learning Human-Scene Interactions
https://doi.org/10.1145/3592096
[ "Changyang Li", "Lap-Fai Yu" ]
We present an approach to generate virtual activity snippets, which comprise sequenced keyframes of multi-character, multi-object interaction scenarios in 3D environments, by learning from recordings of human-scene interactions. The generation consists of two stages. First, we use a sequential deep graph generative mod...
journal
10.1145/3592096
official
null
null
10.1145/3592116
Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models
https://doi.org/10.1145/3592116
[ "Hila Chefer", "Yuval Alaluf", "Yael Vinker", "Lior Wolf", "Daniel Cohen-Or" ]
Recent text-to-image generative models have demonstrated an unparalleled ability to generate diverse and creative imagery guided by a target text prompt. While revolutionary, current state-of-the-art diffusion models may still fail in generating images that fully convey the semantics in the given text prompt. We analyz...
journal
10.1145/3592116
official
2301.13826
title_snapshot
10.1145/3592135
Dictionary Fields: Learning a Neural Basis Decomposition
https://doi.org/10.1145/3592135
[ "Anpei Chen", "Zexiang Xu", "Xinyue Wei", "Siyu Tang", "Hao Su", "Andreas Geiger" ]
We present Dictionary Fields, a novel neural representation which decomposes a signal into a product of factors, each represented by a classical or neural field representation, operating on transformed input coordinates. More specifically, we factorize a signal into a coefficient field and a basis field, and exploit pe...
journal
10.1145/3592135
official
null
null
10.1145/3592093
HACK: Learning a Parametric Head and Neck Model for High-fidelity Animation
https://doi.org/10.1145/3592093
[ "Longwen Zhang", "Zijun Zhao", "Xinzhou Cong", "Qixuan Zhang", "Shuqi Gu", "Yuchong Gao", "Rui Zheng", "Wei Yang", "Lan Xu", "Jingyi Yu" ]
Significant advancements have been made in developing parametric models for digital humans, with various approaches concentrating on parts such as the human body, hand, or face. Nevertheless, connectors such as the neck have been overlooked in these models, with rich anatomical priors often unutilized. In this paper, w...
journal
10.1145/3592093
official
2305.04469
title_snapshot
10.1145/3592390
Materialistic: Selecting Similar Materials in Images
https://doi.org/10.1145/3592390
[ "Prafull Sharma", "Julien Philip", "Michaël Gharbi", "Bill Freeman", "Fredo Durand", "Valentin Deschaintre" ]
Separating an image into meaningful underlying components is a crucial first step for both editing and understanding images. We present a method capable of selecting the regions of a photograph exhibiting the same material as an artist-chosen area. Our proposed approach is robust to shading, specular highlights, and ca...
journal
10.1145/3592390
official
2305.13291
title_snapshot
10.1145/3592132
End-to-end Procedural Material Capture with Proxy-Free Mixed-Integer Optimization
https://doi.org/10.1145/3592132
[ "Beichen Li", "Liang Shi", "Wojciech Matusik" ]
Node-graph-based procedural materials are vital to 3D content creation within the computer graphics industry. Leveraging the expressive representation of procedural materials, artists can effortlessly generate diverse appearances by altering the graph structure or node parameters. However, manually reproducing a specif...
journal
10.1145/3592132
official
null
null
10.1145/3592107
Unsupervised Learning of Robust Spectral Shape Matching
https://doi.org/10.1145/3592107
[ "Dongliang Cao", "Paul Roetzer", "Florian Bernard" ]
We propose a novel learning-based approach for robust 3D shape matching. Our method builds upon deep functional maps and can be trained in a fully unsupervised manner. Previous deep functional map methods mainly focus on predicting optimised functional maps alone, and then rely on off-the-shelf post-processing to obtai...
journal
10.1145/3592107
official
2304.14419
title_snapshot
10.1145/3592458
Listen, Denoise, Action! Audio-Driven Motion Synthesis with Diffusion Models
https://doi.org/10.1145/3592458
[ "Simon Alexanderson", "Rajmund Nagy", "Jonas Beskow", "Gustav Eje Henter" ]
Diffusion models have experienced a surge of interest as highly expressive yet efficiently trainable probabilistic models. We show that these models are an excellent fit for synthesising human motion that co-occurs with audio, e.g., dancing and co-speech gesticulation, since motion is complex and highly ambiguous given...
journal
10.1145/3592458
official
2211.09707
title_snapshot
10.1145/3592402
Fluid Cohomology
https://doi.org/10.1145/3592402
[ "Hang Yin", "Mohammad Sina Nabizadeh", "Baichuan Wu", "Stephanie Wang", "Albert Chern" ]
The vorticity-streamfunction formulation for incompressible inviscid fluids is the basis for many fluid simulation methods in computer graphics, including vortex methods, streamfunction solvers, spectral methods, and Monte Carlo methods. We point out that current setups in the vorticity-streamfunction formulation are i...
journal
10.1145/3592402
official
null
null
10.1145/3592408
Learning Physically Simulated Tennis Skills from Broadcast Videos
https://doi.org/10.1145/3592408
[ "Haotian Zhang", "Ye Yuan", "Viktor Makoviychuk", "Yunrong Guo", "Sanja Fidler", "Xue Bin Peng", "Kayvon Fatahalian" ]
We present a system that learns diverse, physically simulated tennis skills from large-scale demonstrations of tennis play harvested from broadcast videos. Our approach is built upon hierarchical models, combining a low-level imitation policy and a high-level motion planning policy to steer the character in a motion em...
journal
10.1145/3592408
official
null
null
10.1145/3592139
Recursive Control Variates for Inverse Rendering
https://doi.org/10.1145/3592139
[ "Baptiste Nicolet", "Fabrice Rousselle", "Jan Novak", "Alexander Keller", "Wenzel Jakob", "Thomas Müller" ]
We present a method for reducing errors---variance and bias---in physically based differentiable rendering (PBDR). Typical applications of PBDR repeatedly render a scene as part of an optimization loop involving gradient descent. The actual change introduced by each gradient descent step is often relatively small, caus...
journal
10.1145/3592139
official
null
null
10.1145/3592119
Example-Based Procedural Modeling Using Graph Grammars
https://doi.org/10.1145/3592119
[ "Paul Merrell" ]
We present a method for automatically generating polygonal shapes from an example using a graph grammar. Most procedural modeling techniques use grammars with manually created rules, but our method can create them automatically from an example. Our graph grammars generate graphs that are locally similar to a given exam...
journal
10.1145/3592119
official
null
null
10.1145/3592404
Fast Complementary Dynamics via Skinning Eigenmodes
https://doi.org/10.1145/3592404
[ "Otman Benchekroun", "Jiayi Eris Zhang", "Siddartha Chaudhuri", "Eitan Grinspun", "Yi Zhou", "Alec Jacobson" ]
We propose a reduced-space elastodynamic solver that is well suited for augmenting rigged character animations with secondary motion. At the core of our method is a novel deformation subspace based on Linear Blend Skinning that overcomes many of the shortcomings prior subspace methods face. Our skinning subspace is par...
journal
10.1145/3592404
official
2303.11886
title_snapshot
10.1145/3592429
Virtual Mirrors: Non-Line-of-Sight Imaging Beyond the Third Bounce
https://doi.org/10.1145/3592429
[ "Diego Royo", "Talha Sultan", "Adolfo Muñoz", "Khadijeh Masumnia-Bisheh", "Eric Brandt", "Diego Gutierrez", "Andreas Velten", "Julio Marco" ]
Non-line-of-sight (NLOS) imaging methods are capable of reconstructing complex scenes that are not visible to an observer using indirect illumination. However, they assume only third-bounce illumination, so they are currently limited to single-corner configurations, and present limited visibility when imaging surfaces ...
journal
10.1145/3592429
official
2307.14341
title_snapshot