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10.1145/3811341
SAND: Spatially Adaptive Network Depth for Fast Sampling of Neural Implicit Surfaces
https://doi.org/10.1145/3811341
[ "Chuanxiang Yang", "Junhui Hou", "Yuan Liu", "Siyu Ren", "Guangshun Wei", "Taku Komura", "Yuanfeng Zhou", "Wenping Wang" ]
Implicit neural representations are powerful for geometric modeling, but their practical use is often limited by the high computational cost of network evaluations. We observe that implicit representations require progressively lower accuracy as query points move farther from the target surface, and that even within th...
journal
10.1145/3811341
official
2604.25936
title_snapshot
10.1145/3811351
HoloPathTracer: Fast and Accurate Wave Path Tracing for Holography
https://doi.org/10.1145/3811351
[ "Wenbin Zhou", "Xiangyu Meng", "Jiankai Xing", "Xin Liu", "Suyeon Choi", "Yifan Peng" ]
Holography offers unique advantages for delivering perceptual realism while preserving compact form factors in VR/AR. Its perceptual quality, however, hinges on encoding rich wavefronts of photorealistic scenes into interference patterns and then incoherently multiplexing the resulting wave fields for perception. Exist...
journal
10.1145/3811351
official
2606.14173
title_snapshot
10.1145/3811348
SQuadGen: Generating Simple Quad Layouts via Chart Distance Fields
https://doi.org/10.1145/3811348
[ "You-Kang Kong", "Yang Liu", "Yue Dong", "Xin Tong", "Heung-Yeung Shum" ]
3D shapes from scanning, reconstruction, or AI-generated content often lack simple quad mesh layouts—critical for efficient editing and modeling. Existing quad-remeshing techniques typically produce complex layouts with irregular loops, leading to tedious manual cleanup and extensive algorithm tuning. We introduce SQUA...
journal
10.1145/3811348
official
2604.27329
title_snapshot
10.1145/3811381
Invisible Holographic Window: Full-color 3D Image Reconstruction from Transparent Surface-relief Computer-generated Holograms
https://doi.org/10.1145/3811381
[ "Ryo Higashida", "Masato Miura", "Teruyoshi Nobukawa", "Yuta Yamaguchi", "Ken-ichi Aoshima", "Nobuhiko Funabashi", "Masahiro Yamaguchi" ]
Optically recorded analog holograms can reconstruct photorealistic three-dimensional (3D) images without the need for specialized eyewear. Computer-generated holograms (CGHs) are created by simulating the holographic recording process digitally rather than capturing them optically. Large-scale 3D still-image reconstruc...
journal
10.1145/3811381
official
null
null
10.1145/3811332
Single-View Holographic Volumetric 3D Printing with Coupled Differentiable Wave-Optical and Photochemical Optimization
https://doi.org/10.1145/3811332
[ "Felix Wechsler", "Riccardo Rizzo", "Christophe Moser" ]
Volumetric additive manufacturing promises near-instantaneous fabrication of 3D objects, yet achieving high fidelity at the micro-scale remains challenging due to the complex interplay between optical diffraction and chemical effects. We present Single-View Holographic Volumetric Additive Manufacturing (SHVAM), a mecha...
journal
10.1145/3811332
official
2601.16330
title_snapshot
10.1145/3811384
Persistence-guided Prescribed Topological Simplification
https://doi.org/10.1145/3811384
[ "Linxuan Rong", "Tao Ju" ]
We present a new method for simplifying the topology of a 3D shape. Unlike existing methods that either remove all topological features or offer indirect control over the target topology, our method aims at exactly preserving the user-prescribed numbers of topological features of each type (e.g., components, handles, a...
journal
10.1145/3811384
official
null
null
10.1145/3811371
Iskra: A System for Inverse Geometry Processing
https://doi.org/10.1145/3811371
[ "Ana Dodik", "Ahmed Mahmoud", "Justin Solomon" ]
We propose a system for differentiating through solutions to geometry processing problems. Our system differentiates a broad class of geometric algorithms, exploiting existing fast problem-specific schemes common to geometry processing, including local-global and ADMM solvers. It is compatible with machine learning fra...
journal
10.1145/3811371
official
2602.12105
title_snapshot
10.1145/3811288
Pixels2Peaks: Converting Terrain Images to Heightmaps
https://doi.org/10.1145/3811288
[ "Aryamaan Jain", "James Gain", "Guillaume Cordonnier" ]
A common process in authoring digital scenes for games, films, and virtual environments is for artists to construct 3D geometry that matches a 2D perspective reference image. In the case of the bare-earth terrain, this is typically a manual process since, unlike for trees and buildings, few inverse reconstruction metho...
journal
10.1145/3811288
official
null
null
10.1145/3811389
Spatially Accelerated Winding Numbers for Curved Geometry
https://doi.org/10.1145/3811389
[ "Jacob Spainhour", "Brad Whitlock", "Kenneth Weiss" ]
The generalized winding number (GWN) is a scalar field that supports robust containment queries on curved geometry, including non-watertight, overlapping, and nested boundary representations. While queries can be easily parallelized over samples, direct evaluation on parametric curves and surfaces remains costly for la...
journal
10.1145/3811389
official
2605.19200
title_snapshot
10.1145/3811346
EgoRelight: Egocentric Human Capture and Illumination Recovery for Relightable and Photoreal Avatar Rendering
https://doi.org/10.1145/3811346
[ "Jianchun Chen", "Yinda Zhang", "Rohit Pandey", "Thabo Beeler", "Marc Habermann", "Christian Theobalt" ]
Mixed Reality (MR) headsets promise a future of immersive telepresence where virtual humans blend indistinguishably into their real or virtual surroundings. Achieving this vision requires a method capable of capturing a user's motion, estimating their appearance under novel lighting, and understanding the surrounding e...
journal
10.1145/3811346
official
2605.28401
title_snapshot
10.1145/3811356
STyMo: Fast and Controllable Few-Shot Motion Style Transfer
https://doi.org/10.1145/3811356
[ "Jose Luis Ponton", "Alexander Winkler", "Ladislav Kavan", "Yuting Ye", "Petr Kadlecek" ]
Supporting a wide variety of motion styles is critical for creating diverse virtual characters, but current methods either require large stylized datasets or pre-trained models that cannot generalize beyond their training distribution. We present STyMo, a few-shot approach that learns motion style from only seconds of ...
journal
10.1145/3811356
official
null
null
10.1145/3811336
Stochastic geomorphological transport for terrain erosion simulation
https://doi.org/10.1145/3811336
[ "Nicholas McDonald", "Guillaume Cordonnier" ]
Mountainous terrains evolve over geological timescales through erosion processes driven by the complex interplay of transported quantities such as water, sediment, and rockfall. A key challenge in erosion modeling is the simultaneous simulation of transport and erosive processes, which differ in temporal scales by seve...
journal
10.1145/3811336
official
null
null
10.1145/3811320
MorphSkein: A Shape-Changing Afterimage Display Preserving Pixel Density During Surface-Area Changes Across Troposkein-Based Shapes
https://doi.org/10.1145/3811320
[ "Maxime Daniel", "Shariff AM Faleel", "Pourang Irani" ]
Shape-changing displays typically lose pixel density as surface area expands, limiting their usability. We introduce MorphSkein, a shape-changing after-image display that preserves initial density (1.44 px/cm 2 ) across naturally occurring axisymmetric shapes generated by spinning cables (troposkeins). The system uses ...
journal
10.1145/3811320
official
null
null
10.1145/3811313
Semantic-Structural Alignment for Generative Pictorial Charts
https://doi.org/10.1145/3811313
[ "Zhida Sun", "Yulin Zhang", "Zheng Gu", "Min Lu", "Bongshin Lee", "Daniel Cohen-Or", "Hui Huang" ]
Traditional statistical graphics are precise but often lack the visual appeal, memorability, and engagement of pictorial charts. We present a generative framework for the automated synthesis of pictorial charts that bridges the gap between semantic expression and structural faithfulness. Rather than treating charts mer...
journal
10.1145/3811313
official
2606.06498
title_snapshot
10.1145/3811338
Locality-Aware Automatic Differentiation on the GPU for Mesh-Based Computations
https://doi.org/10.1145/3811338
[ "Ahmed Mahmoud", "Rahul Goel", "Jonathan Ragan-Kelley", "Justin Solomon" ]
We present a GPU-based system for automatic differentiation (AD) of functions defined on triangle meshes, designed to exploit the locality and sparsity in mesh-based computation. Our system evaluates derivatives using perelement forward-mode AD, confining all computation to registers and shared memory and assembling gl...
journal
10.1145/3811338
official
2509.00406
title_snapshot
10.1145/3811289
Spatiotemporal FLIP for Fast Free-Surface and Two-Phase Simulation With Very Large Time Steps
https://doi.org/10.1145/3811289
[ "Bernhard Braun", "Rene Winchenbach", "Jan Bender", "Nils Thuerey" ]
We present ST-FLIP, a spatiotemporal extension of the Fluid-Implicit Particle (FLIP) method for incompressible free-surface and two-phase liquid simulation. ST-FLIP enables time steps up to an order of magnitude larger than those typically used in CFL-constrained solvers, while preserving detailed flow structures and v...
journal
10.1145/3811289
official
null
null
10.1145/3811340
Walk on Decomposed Subdomains: A Hybrid Monte Carlo–Deterministic Solver for Elliptic PDEs
https://doi.org/10.1145/3811340
[ "Clément Jambon", "Mohammad Sina Nabizadeh", "Mina Konaković Luković" ]
Elliptic partial differential equations are ubiquitous in graphics and engineering, but remain challenging to solve on complex or evolving geometries. Traditional discretization schemes (e.g., FEM/FDM) provide stable, globally coupled solutions but require heavy meshing or extreme refinement to accurately resolve geome...
journal
10.1145/3811340
official
null
null
10.1145/3811363
AtomSlicer: Constant-Thickness Field-Aligned Non-Planar Slicing and Continuous Toolpaths for FFF
https://doi.org/10.1145/3811363
[ "Giovanni Cocco", "Vincent Belle", "Eric Garner", "Sylvain Lefebvre", "Xavier Chermain" ]
Multi-axis fused filament fabrication (FFF) reduces staircase artifacts and support material by adapting nozzle orientation. However, reliable and highly customizable printing requires layers and toolpaths combining a number of challenging properties: following prescribed fields, preserving constant bead geometry, avoi...
journal
10.1145/3811363
official
null
null
10.1145/3811380
A Few-Step Generative Model on Cumulative Flow Maps
https://doi.org/10.1145/3811380
[ "Zhiqi Li", "Duowen Chen", "Yuchen Sun", "Bo Zhu" ]
We propose a unified, few-step generative modeling framework based on cumulative flow maps for long-range transport in probability space, inspired by flow-map techniques for physical transport and dynamics. At its core is a cumulative-flow abstraction that connects local, instantaneous updates with finite-time transpor...
journal
10.1145/3811380
official
2605.03623
title_snapshot
10.1145/3811308
MOCHI: Motion Enhancement of Collaborative Human-object Interactions
https://doi.org/10.1145/3811308
[ "Jiye Lee", "Yonghun Choi", "Jungdam Won" ]
Collaborative human-object interaction shows dynamic and complex movements that require mutual anticipation and continuous adjustment between participants and the shared object. Understanding and modeling such collaborative multi-human object interaction (MHOI) scenarios requires high-quality data acquisition as a foun...
journal
10.1145/3811308
official
2606.18243
title_snapshot
10.1145/3811276
M-ABD: Scalable, Efficient, and Robust Multi-Affine-Body Dynamics
https://doi.org/10.1145/3811276
[ "Zhiyong He", "Dewen Guo", "Minghao Guo", "Yili Zhao", "Wojciech Matusik", "Hao Su", "Chenfanfu Jiang", "Peter Yichen Chen", "Yin Yang" ]
Simulating large-scale articulated assemblies poses a significant challenge due to the numerical stiffness and geometric complexity of jointed structures. Conventional rigid body solvers struggle with the high nonlinearity induced by rotation parameterization. This difficulty becomes more pronounced for multiple two-wa...
journal
10.1145/3811276
official
2603.08079
title_snapshot
10.1145/3811370
Constant Mean Curvature Surfaces from Discrete Harmonic Maps
https://doi.org/10.1145/3811370
[ "Yousuf Soliman", "Peter Schröder", "Ulrich Pinkall" ]
Constant mean curvature surfaces are æsthetically appealing geometric objects with applications in physics, differential geometry, and architecture. We present a straightforward discretization of constant mean curvature surfaces based on the classical observation that their Gauß maps are harmonic. Our construction is e...
journal
10.1145/3811370
official
null
null
10.1145/3811392
ACT: A Unified Framework for Rigging and Animating Characters with Arbitrary Topologies
https://doi.org/10.1145/3811392
[ "Pengyu Long", "Weirui Wang", "Qingcheng Zhao", "Xiaoyang Guo", "Xiaoyu Pan", "Qixuan Zhang", "Jiaqing Zhou", "Tianlei Hu", "Wei Yang", "Lan Xu", "Jingyi Yu" ]
Recent advances in generative models have democratized the creation of high-quality static 3D assets, yet animating these meshes remains a labor-intensive bottleneck. Traditional pipelines fracture this process into sequential stages—rigging, skinning, and motion synthesis—ignoring the inherent coupling between morphol...
journal
10.1145/3811392
official
null
null
10.1145/3811306
ATGS: Anchored Temporal Gaussian Splatting for Long Volumetric Video Representation
https://doi.org/10.1145/3811306
[ "Jiahao Wu", "Jie Liang", "Die Hu", "Jiayu Yang", "Kaiqiang Xiong", "Xiang Li", "Xiaoyun Zheng", "Chao Wang", "Ronggang Wang" ]
Volumetric video enables immersive free viewpoint rendering of dynamic real world scenes, yet existing methods struggle with long sequences and complex motions, often leading to temporal instability and visual artifacts. To address these challenges, we propose ATGS, a Gaussian splatting based framework for volumetric v...
journal
10.1145/3811306
official
null
null
10.1145/3811378
ReActor: Reinforcement Learning for Physics-Aware Motion Retargeting
https://doi.org/10.1145/3811378
[ "David Müller", "Agon Serifi", "Sammy Christen", "Ruben Grandia", "Espen Knoop", "Moritz Bächer" ]
Retargeting human kinematic reference motion onto a robot's morphology remains a formidable challenge. Existing methods often produce physical inconsistencies, such as foot sliding, self-collisions, or dynamically infeasible motions, which hinder downstream imitation learning. We propose a bilevel optimization framewor...
journal
10.1145/3811378
official
2605.06593
title_snapshot
10.1145/3811360
StyleID: A Perception-Aware Dataset and Metric for Stylization-Agnostic Facial Identity Recognition
https://doi.org/10.1145/3811360
[ "Kwan Yun", "Changmin Lee", "AYeong Jeong", "Youngseo Kim", "Seungmi Lee", "Junyong Noh" ]
Creative face stylization aims to render portraits in diverse visual idioms such as cartoons, sketches, and paintings while retaining recognizable identity. However, current identity encoders, which are typically trained and calibrated on natural photographs, exhibit severe brittleness under stylization. They often mis...
journal
10.1145/3811360
official
2604.21689
title_snapshot
10.1145/3811364
LayerInbetween: Occlusion-Aware Stroke Correspondence and Inbetweening with Automatic Layering
https://doi.org/10.1145/3811364
[ "Haoran Mo", "Zhongyue Guan", "Yixin Hu", "Zeyu Wang" ]
The Hong Kong University of Science and Technology (Guangzhou), China and The Hong Kong University of Science and Technology, China Establishing one-to-one stroke correspondences is fundamental to vector-based animation inbetweening. Animators may face great challenges when handling occlusion, as occluded strokes must ...
journal
10.1145/3811364
official
null
null
10.1145/3811352
BodyReLux: Temporally Consistent Full-Body Video Relighting
https://doi.org/10.1145/3811352
[ "Li Ma", "Mingming He", "Xueming Yu", "David George", "Ahmet Tasel", "Paul Debevec", "Julien Philip" ]
Being able to relight human performance is a fundamental task for post production and content creation. We present BodyReLux, a subject-specific video diffusion-based framework for relighting full-body human performances in a temporally consistent way. Our model is trained on a hybrid dataset of pixel-aligned video rel...
journal
10.1145/3811352
official
2605.21766
title_snapshot
10.1145/3811353
Physics-Inspired Procedural Texturing of Extremely Deformable Surfaces
https://doi.org/10.1145/3811353
[ "Aleksei Kalinov", "Mickaël Ly", "Christian Hafner", "Chris Wojtan" ]
The appearance of simulated natural phenomena heavily depends on the way surfaces are textured. However, applying texture maps to dynamic deformable surfaces presents a significant challenge, due to ever-shifting differences in length scales involved. When these surfaces move and advect the texture along with them, the...
journal
10.1145/3811353
official
null
null
10.1145/3811335
A Two-Millisecond Passthrough Headset for Perceptual Studies
https://doi.org/10.1145/3811335
[ "Eric Penner", "Josephine D'Angelo", "Clinton Smith", "Nathan Matsuda", "Navaneethan Siva", "Phillip Guan" ]
End-to-end (e2e) latency in head-mounted displays (HMD) is the time delay between a physical change in the world (e.g., a user's head movement) and the moment the display updates to reflect that change. Tracking, rendering, and other computation in real systems invariably introduce some amount of e2e latency to all HMD...
journal
10.1145/3811335
official
null
null
10.1145/3811386
MeshFEM: A Block-accelerated Solver for Nonlinear Finite Elements
https://doi.org/10.1145/3811386
[ "Haleh Mohammadian", "Xinzhuo Hu", "Roi Poranne", "Julian Panetta" ]
We introduce a high-performance framework for solving nonconvex optimization problems arising in simulation and geometry processing applications. Our framework especially benefits high-dimensional problems whose unknowns are spatial coordinates in ℝ d and whose objectives are expressed as a sum of element energies over...
journal
10.1145/3811386
official
null
null
10.1145/3811271
Manifold k-NN: Accelerated k-NN Queries for Manifold Point Clouds
https://doi.org/10.1145/3811271
[ "Pengfei Wang", "Qinghao Guo", "Haisen Zhao", "Shiqing Xin", "Shuangmin Chen", "Changhe Tu", "Wenping Wang" ]
k -nearest neighbor ( k -NN) search is a fundamental primitive in geometry processing and computer graphics. While spatial partitioning structures such as kd -trees are standard, they are often manifold-blind, failing to exploit the intrinsic low-dimensional structure of points sampled from 2-manifolds. Recent advances...
journal
10.1145/3811271
official
2605.02224
title_snapshot
10.1145/3811374
Lucky High Dynamic Range Smartphone Imaging
https://doi.org/10.1145/3811374
[ "Baiang Li", "Ruyu Yan", "Ethan Tseng", "Zhoutong Zhang", "Adam Finkelstein", "Jiawen Chen", "Felix Heide" ]
While the human eye can perceive an impressive twenty stops of dynamic range, smartphone camera sensors remain limited to about twelve stops despite decades of research. A variety of high dynamic range (HDR) image capture and processing techniques have been proposed, and, in practice, they can extend the dynamic range ...
journal
10.1145/3811374
official
2604.19976
title_snapshot
10.1145/3811382
Untangling Surfaces via Shape and Mesh Repulsion
https://doi.org/10.1145/3811382
[ "Jiří Minarčík", "Michael Liu", "Keenan Crane", "Minchen Li" ]
Self-intersections are widespread in surface meshes and invalidate downstream simulation, fabrication, and learning pipelines. Existing approaches typically treat self-intersections as local collision events, but embeddedness (i.e., lack of self-intersections) is a global geometric property that cannot be enforced thro...
journal
10.1145/3811382
official
null
null
10.1145/3811281
GenPIE: A Time-Resolved Plenoptic Imager
https://doi.org/10.1145/3811281
[ "Ziheng Wang", "Siyuan Shen", "Huanyu Xu", "Kaichun Qiao", "Longwen Zhang", "Qixuan Zhang", "Qilin Sun", "Shiying Li", "Jingyi Yu" ]
Capturing the full plenoptic light transport across spatial, angular, and temporal dimensions has long been a pursuit in computational imaging, yet it remains fundamentally constrained by the high dimensionality of the sampling space and the physical inaccessibility of scene regions due to self-occlusions. While time-r...
journal
10.1145/3811281
official
null
null
10.1145/3811402
MUSIC: Learning Muscle-Driven Dexterous Hand Control
https://doi.org/10.1145/3811402
[ "Pei Xu", "Yufei Ye", "Shuchu Sun", "Yu Ding", "Elizabeth Schumann", "C. Karen Liu" ]
We present a data-driven approach for physics-based, muscle-driven dexterous control that enables musculoskeletal hands to perform precise piano playing for novel pieces of music outside the reference dataset. Our approach combines high-frequency muscle-level control with low-frequency latent-space coordination in a hi...
journal
10.1145/3811402
official
2604.23886
title_snapshot
10.1145/3811299
ToF ReSTIR: Time-of-Flight Rendering with Spatio-temporal Reservoir Resampling
https://doi.org/10.1145/3811299
[ "Juhyeon Kim", "Wojciech Jarosz", "Adithya Pediredla" ]
We present a novel spatio-temporal reuse framework for time-resolved light transport, enabling efficient Monte Carlo rendering of time-of-flight (ToF) phenomena such as time-gated imaging and transient light capture. Existing ToF rendering methods are computationally expensive, scale poorly to complex dynamic scenes, a...
journal
10.1145/3811299
official
2605.11536
title_snapshot
10.1145/3811345
Mixed Material Point Methods for Stiff Elastoplasticity
https://doi.org/10.1145/3811345
[ "Gilles Daviet" ]
We present a family of mixed Material Point Methods well suited for the CFL-rate simulation of stiff elastoviscoplastic materials, up to the incompressible limit. Our work builds upon the mixed discretization from Daviet and Bertails-Descoubes [2016a] and extends it to handle finite-strain vis-coelasticity and more gen...
journal
10.1145/3811345
official
null
null
10.1145/3811295
Gradient Domain Reconstruction for Monte Carlo PDE Solvers
https://doi.org/10.1145/3811295
[ "Jiaqi Wu", "Xuejun Hu", "Shuang Zhao", "Kun Xu" ]
Grid-free Monte Carlo methods are capable of solving Poisson equations on highly complex domains. However, existing methods operate solely in the primal domain and can converge slowly due to high variance. Inspired by gradient-domain rendering, we introduce a gradient-domain framework for Poisson problems. Specifically...
journal
10.1145/3811295
official
null
null
10.1145/3811280
Uncertainty-aware geometry processing on Gaussian Process Implicit Surfaces
https://doi.org/10.1145/3811280
[ "Baptiste Genest", "David Coeurjolly" ]
We present a framework for uncertainty-aware geometry processing on Gaussian Process Implicit Surfaces (GPIS), enabling computations directly on such probabilistic representations of shapes. In contrast to classical geometry processing pipelines that assume deterministic surface meshes or point clouds, our approach con...
journal
10.1145/3811280
official
null
null
10.1145/3811379
The PhaseTree: Multiphase Signed Distance Fields
https://doi.org/10.1145/3811379
[ "Eric Galin", "Pierre Hubert-briere", "Marie-Paule Cani", "Adrien Peytavie", "Eric Guérin", "Hugo Schott" ]
We introduce the PhaseTree, a novel hierarchical construction-tree representation for compactly modeling volumetric objects composed of multiple phases or materials across scales. An object is defined as a single construction tree that combines phase-aware primitives through composition and warping operators, yielding ...
journal
10.1145/3811379
official
null
null
10.1145/3811319
Role-Aware Virtual Agents for Navigational Interaction guided by a Multimodal Large Language Model
https://doi.org/10.1145/3811319
[ "Minyoung Kim", "Changyang Li", "Cuong Nguyen", "Lap-Fai Yu" ]
We present a role-aware virtual agent navigational interaction that generates consistent, role-aligned movement behaviors. Our approach leverages Multimodal Large Language Models (MLLMs) to interpret multimodal inputs including scene information, user state, and high-level language role instruction, producing discrete ...
journal
10.1145/3811319
official
null
null
10.1145/3811401
Surface Power Diagrams for Knit Singularity Placement
https://doi.org/10.1145/3811401
[ "Rahul Mitra", "Mattéo Couplet", "Ruichen Liu", "Jonathan Ng", "Ruza Markov", "William Batara Jeremiah Samosir", "Megan Hofmann", "Edward Chien" ]
We present an algorithm for global knit structure planning that leverages a generalization of power diagrams to triangulated surfaces. This generalization is based on modified geodesic heat kernels and is used to quantize the curl measure of a normalized knitting time function gradient. Knit singularity positions are o...
journal
10.1145/3811401
official
null
null
10.1145/3811343
Efficient Fur and Hair Multiple Scattering Using Volumetric Approximation
https://doi.org/10.1145/3811343
[ "Ruike Hu", "Junqiu Zhu", "Minghao Lin", "Ruian Zhang", "Lu Wang", "Jie Guo", "Yanwen Guo", "Lingqi Yan" ]
In this paper, we propose an efficient method for hair and fur rendering that approximates multiple scattering as volumetric light transport, achieving near path-traced visual fidelity at a drastically reduced cost. Multiple scattering among hair fibers is crucial for a realistic appearance, especially for light-colore...
journal
10.1145/3811343
official
null
null
10.1145/3811303
Learning a Delighting Prior for Facial Appearance Capture in the Wild
https://doi.org/10.1145/3811303
[ "Yuxuan Han", "Xin Ming", "Tianxiao Li", "Zhuofan Shen", "Qixuan Zhang", "Lan Xu", "Feng Xu" ]
High-quality facial appearance capture has traditionally required costly studio recording. Recent works consider an in-the-wild smartphone-based setup; however, their model-based inverse rendering paradigm struggles with the complex disentanglement of reflectance from unknown illumination. To bridge this gap, we propos...
journal
10.1145/3811303
official
2605.05636
title_snapshot
10.1145/3811376
Woodstock: Interactive Modeling of Fungal Wood Decay
https://doi.org/10.1145/3811376
[ "Zhanyu Yang", "Nikolas Schwarz", "Bosheng Li", "Dominik Michels", "Bedrich Benes", "Sören Pirk", "Wojtek Palubicki" ]
Fungal wood decay is a complex biophysical phenomenon that involves the degradation of a variety of structural wood components, ranging from lignin and carbohydrates to defensive chemical agents. All these substrates serve as varying resources with different material properties that determine the rate of fungal propaga...
journal
10.1145/3811376
official
null
null
10.1145/3811368
Implicit Minimal Surfaces for Bijective Correspondences
https://doi.org/10.1145/3811368
[ "Etienne Corman", "Yousuf Soliman", "Robin Magnet", "Mark Gillespie" ]
We introduce an implicit representation of continuous, bijective, orientation-preserving maps between genus zero surfaces with or without boundary. The distortion of these maps can easily be minimized by optimizing the Ginzburg-Landau functional—a ubiquitous model in physics and differential geometry—leading to a simpl...
journal
10.1145/3811368
official
2605.02770
title_snapshot
10.1145/3811294
MPM Lite: Linear Kernels and Integration without Particles
https://doi.org/10.1145/3811294
[ "Xiang Feng", "Yunuo Chen", "Chang Yu", "Hao Su", "Demetri Terzopoulos", "Yin Yang", "Joe Masterjohn", "Alejandro Castro", "Chenfanfu Jiang" ]
We introduce MPM Lite, a hybrid Lagrangian/Eulerian method that eliminates the need for particle-based quadrature at solve time. Standard Material Point Method (MPM) practices suffer from a performance bottleneck where expensive implicit solves are proportional to particle-per-cell (PPC) counts due to the the choices o...
journal
10.1145/3811294
official
2602.07853
title_snapshot
10.1145/3811324
PQ-Free HD: Priority-Queue-Free Hausdorff Distance for Triangle Meshes on GPU
https://doi.org/10.1145/3811324
[ "Zhihao Hu", "Renjie Chen" ]
Computing the Hausdorff distance between triangle meshes with guaranteed accuracy is a computationally intensive task. Conventional Branch-and-Bound (B&B) approaches are fundamentally ill-suited for massive parallelism. Their reliance on a global priority queue (PQ) for both best-first scheduling and global termination...
journal
10.1145/3811324
official
null
null
10.1145/3811318
Neural Quadrature Rule and Autoregressive Adaptive Sampling
https://doi.org/10.1145/3811318
[ "Haolin Lu", "Liwen Wu", "Zimo Wang", "Tzu-Mao Li", "Ravi Ramamoorthi" ]
Monte Carlo integration is widely used in computer graphics, especially in rendering, but we identify two key limitations. First, for each sample, we can often obtain rich auxiliary information, such as sample position, or geometric information. However, a classical Monte Carlo estimator cannot effectively use this inf...
journal
10.1145/3811318
official
null
null
10.1145/3811396
Photons × Force: Differentiable Radiation Pressure Modeling
https://doi.org/10.1145/3811396
[ "Charles Constant", "Santosh Bhattarai", "Elizabeth Bates", "Marek Ziebart", "Tobias Ritschel" ]
We propose a system to optimize parametric designs subject to radiation pressure, i.e., the effect of light on the motion of objects. This is most relevant in the design of spacecraft, where radiation pressure presents the dominant non-conservative forcing mechanism, which is the case beyond approximately 800 km altitu...
journal
10.1145/3811396
official
2602.10712
title_judge
10.1145/3811285
ComboStoc: Combinatorial Stochasticity for Diffusion Generative Models
https://doi.org/10.1145/3811285
[ "Rui Xu", "Jiepeng Wang", "Hao Pan", "Yang Liu", "Xin Tong", "Shiqing Xin", "Changhe Tu", "Taku Komura", "Wenping Wang" ]
In this paper, we study an under-explored but important factor of diffusion generative models, i.e., the combinatorial complexity. Data samples are generally high-dimensional, and for various structured generation tasks, additional attributes are combined to associate with data samples. We show that the space spanned b...
journal
10.1145/3811285
official
2405.13729
title_snapshot
10.1145/3811300
PR-Cage: Progressive Feasibility Relaxation for Tight Bounding Cage Generation
https://doi.org/10.1145/3811300
[ "Huibiao Wen", "Kaikai Qin", "Xinxin Su", "Jingcheng Mei", "Shuangmin Chen", "Chongyang Deng", "Changhe Tu", "Shiqing Xin", "Wenping Wang" ]
Cages are fundamental structures in computer graphics, serving as versatile proxies for a wide range of applications. A high-quality cage must balance two competing objectives: minimizing the face count to ensure simplicity, and maximizing tightness to maintain high geometric fidelity to the input mesh. In this paper, ...
journal
10.1145/3811300
official
null
null
10.1145/3811375
Sketch2Arti: Sketch-based Articulation Modeling of CAD Objects
https://doi.org/10.1145/3811375
[ "Yi Yang", "Hao Pan", "Yijing Cui", "Alla Sheffer", "Changjian Li" ]
Articulation modeling aims to infer movable parts and their motion parameters for a 3D object, enabling interactive animation, simulation, and shape editing. In this paper, we present Sketch2Arti , the first sketch-based articulation modeling system for CAD objects. Our key observation is that designers naturally commu...
journal
10.1145/3811375
official
2604.25781
title_snapshot
10.1145/3811273
Low-Rank Koopman Deformables with Log-Linear Time Integration
https://doi.org/10.1145/3811273
[ "Yue Chang", "Peter Yichen Chen", "Eitan Grinspun", "Maurizio M. Chiaramonte" ]
We present a low-rank Koopman operator formulation for accelerating deformable subspace simulation. Using a Dynamic Mode Decomposition (DMD) parameterization of the Koopman operator, our method learns the temporal evolution of deformable dynamics and predicts future states through efficient matrix evaluations instead o...
journal
10.1145/3811273
official
2602.07687
title_snapshot
10.1145/3811291
Structural MAT: Clean and Scalable Medial Axis Simplification via Explicit Surface Correspondence
https://doi.org/10.1145/3811291
[ "Pengfei Wang", "Shuangmin Chen", "Dongming Yan", "Ying He", "Shiqing Xin", "Changhe Tu", "Wenping Wang" ]
The Medial Axis Transform (MAT) is a complete shape descriptor capable of reconstructing the geometry of the original domain. A high-quality MAT should not only facilitate high-fidelity reconstruction but also capture structural features—for instance, by aligning the MAT boundary with the locus of rolling ball centers ...
journal
10.1145/3811291
official
2605.02302
title_snapshot
10.1145/3811354
Skinned Motion Retargeting with Spatially Adaptive Interaction Guidance
https://doi.org/10.1145/3811354
[ "Soojin Choi", "Seokhyeon Hong", "Chaelin Kim", "Junghyun Nam", "Junhyuk Jeon", "Junyong Noh" ]
Retargeting motion across characters with varying body shapes while preserving interaction semantics, such as self-contact and near-body proximity, remains a challenging problem. While recent geometry-aware approaches address this by maintaining spatial relationships between predefined corresponding regions, their reli...
journal
10.1145/3811354
official
2605.19355
title_snapshot
10.1145/3811366
Probe-based Walk on Spheres for Efficient Path Reusing
https://doi.org/10.1145/3811366
[ "Wanchao Huang", "Yutian Zhu", "Qing Fang", "Ligang Liu" ]
The Walk on Spheres (WoS) algorithm is a mesh-free and highly flexible Monte Carlo method for solving partial differential equations, but its practical applicability is limited by slow O ( N -1/2 ) convergence. While prior variance reduction techniques exploit spatial correlations through integral properties of the PDE...
journal
10.1145/3811366
official
null
null
10.1145/3811367
Efficient Multiscale Lanczos Eigenpair Extraction
https://doi.org/10.1145/3811367
[ "Theo Braune", "Jérémie Dumas", "Jean-Marc Thiery" ]
Eigenpair extractions are crucial for various applications in geometry processing and graphics. State of the Art libraries like ARPACK or Spectra rely on the implicitly restarted Lanczos iteration to extract eigenpairs efficiently. However for some large scale problems they lack convergence speed and robustness. In thi...
journal
10.1145/3811367
official
null
null
10.1145/3811377
Forget Superresolution, Sample Adaptively (when Path Tracing)
https://doi.org/10.1145/3811377
[ "Martin Balint", "Corentin Salaün", "Hans-Peter Seidel", "Karol Myszkowski" ]
Real-time path tracing increasingly operates under extremely low sampling budgets, often below one sample per pixel, as rendering complexity, resolution, and frame-rate requirements continue to rise. Superresolution is widely used in production because it reduces path-tracing cost by tracing rays on a coarser image gri...
journal
10.1145/3811377
official
2602.08642
title_snapshot
10.1145/3811272
Gaussian Point Splatting
https://doi.org/10.1145/3811272
[ "Joris Rijsdijk", "Christoph Peters", "Michael Weinmann", "Ricardo Marroquim" ]
We propose Gaussian point splatting, a stochastic method to render Gaussian splats that scales extremely well to scenes with many Gaussians. Our core idea is to sample pixel-sized, opaque points from the Gaussians and to splat them to a framebuffer using 64–bit atomics. Through parallel programming primitives, we achie...
journal
10.1145/3811272
official
null
null
10.1145/3811397
Monte Carlo Rendering of Biharmonic Diffusion Curves
https://doi.org/10.1145/3811397
[ "Paul Himmler", "Tobias Günther" ]
Stochastic Monte Carlo solvers for partial differential equations (PDEs) recently gained popularity in computer graphics, finding applications in geometry processing, rendering, simulation, and visualization. At present, there exists no Monte Carlo solver for the rendering of biharmonic diffusion curves, an artist-frie...
journal
10.1145/3811397
official
null
null
10.1145/3811316
TwinPose: Person-Specific Subspaces for Multi-View 3D Pose Estimation
https://doi.org/10.1145/3811316
[ "Wenwu Yang", "Tianyi He", "Jiwei Ding", "Xun Wang", "Rong Zhang", "Kun Zhou" ]
Following the success of deep neural networks in 2D pose estimation, reconstruction-based approaches have significantly advanced multi-person 3D pose estimation from sparse multi-view images. These methods typically detect 2D poses independently in each view and then associate them for 3D reconstruction. However, despi...
journal
10.1145/3811316
official
null
null
10.1145/3811293
GimmBO: Interactive Generative Image Model Merging via Bayesian Optimization
https://doi.org/10.1145/3811293
[ "Chenxi Liu", "Selena Ling", "Alec Jacobson" ]
Fine-tuning-based adaptation is widely used to customize diffusion-based image generation, leading to large collections of community-created adapters that capture diverse subjects and styles. Adapters derived from the same base model can be merged linearly, enabling the synthesis of new visual results within a vast and...
journal
10.1145/3811293
official
2601.18585
title_snapshot
10.1145/3811321
Monte Carlo PDE Solvers for Nonlinear Radiative Boundary Conditions
https://doi.org/10.1145/3811321
[ "Anchang Bao", "Enya Shen", "Jianmin Wang" ]
Monte Carlo PDE solvers have become increasingly popular for solving heat-related partial differential equations in geometry processing and computer graphics due to their robustness in handling complex geometries. While existing methods can handle Dirichlet, Neumann, and linear Robin boundary conditions, nonlinear boun...
journal
10.1145/3811321
official
2604.21717
title_snapshot
10.1145/3811317
RCGP: Resource Contracts for Graphics Programming
https://doi.org/10.1145/3811317
[ "Venkataram Sivaram", "Sai Praveen Bangaru", "Ravi Ramamoorthi", "Tzu-Mao Li", "Jonathan Ragan-Kelley", "Fredo Durand" ]
Computer graphics applications are sophisticated heterogeneous programs that orchestrate numerous components, including shaders, pipelines, resource descriptors, and command streams. In modern graphics workflows, communication between these components is mediated by resources such as shader I/O, storage buffers, and re...
journal
10.1145/3811317
official
null
null
10.1145/3811383
Progressing Level-of-Detail Animation for Volumetric Elastodynamics
https://doi.org/10.1145/3811383
[ "Jiayi Eris Zhang", "Doug James", "Danny Kaufman" ]
We extend Progressive Dynamics [Zhang et al. 2024, 2025] from cloth and shells to volumetric finite elements, enabling an efficient level-of-detail (LOD) animation-design pipeline with predictive coarse-resolution previews for rapid iteration toward a final high-resolution volumetric elastodynamics animation. To achiev...
journal
10.1145/3811383
official
2509.14177
title_judge
10.1145/3811282
SMP: Reusable Score-Matching Motion Priors for Physics-Based Character Control
https://doi.org/10.1145/3811282
[ "Yuxuan Mu", "Ziyu Zhang", "Yi Shi", "Dun Yang", "Minami Matsumoto", "Kotaro Imamura", "Guy Tevet", "Chuan Guo", "Michael Taylor", "Chang Shu", "Pengcheng Xi", "Xue Bin Peng" ]
Data-driven motion priors that can guide agents toward producing naturalistic behaviors play a pivotal role in creating life-like virtual characters. Adversarial imitation learning has been a highly effective method for learning motion priors from reference motion data. However, adversarial priors, with few exceptions,...
journal
10.1145/3811282
official
2512.03028
title_snapshot
10.1145/3811362
Tempo3D: Efficient Temporal-Aware Fine-Tuning and Multi-View Latent Aggregation for 3D Generation
https://doi.org/10.1145/3811362
[ "Huizhi Zhu", "Jiongming Qin", "Yusen Wang", "Chunxia Xiao" ]
Despite recent advancements in native latent diffusion models for single-view 3D generation, they still suffer from inadequate geometric details due to the global entanglement of VecSet-based representations and inaccurate structural topology arising from single-view ambiguity. Existing solutions often rely on model sc...
journal
10.1145/3811362
official
null
null
10.1145/3811339
Fast and Exact Winding Numbers for Triangle Meshes
https://doi.org/10.1145/3811339
[ "Peiyuan Xie", "Christian Hafner", "Chris Wojtan" ]
We revisit the computation of 3D generalized winding numbers, a useful measure for inside-outside classification on triangle meshes with gaps, self-intersections, and open boundaries. At the core of our new method is an analytical reduction of the surface integral that defines the winding number, resulting in a single ...
journal
10.1145/3811339
official
null
null
10.1145/3811326
Uniformly Deployable Kirigami on Arbitrary Planar Graphs
https://doi.org/10.1145/3811326
[ "Aviv Segall", "Jing Ren", "Olga Sorkine-Hornung" ]
We present an analytical framework for exploring the design space of hinged kirigami structures that deploy rigidly and uniformly. A hinged kirigami structure consists of rigid planar faces connected by hinges, and is deployable if the faces can rotate about the hinges without deformation. Such deployability depends on...
journal
10.1145/3811326
official
null
null
10.1145/3811307
Learned Universal Interoperable Virtual Try-ON
https://doi.org/10.1145/3811307
[ "Cong Cao", "Xianhang Cheng", "Jingyuan Liu", "Yujian Zheng", "Zhenhui Lin", "Ren Li", "Meriem Chkir", "Hao Li" ]
To enable large-scale reuse of real-world 3D assets-where garments and characters rarely share skeletons, templates, or dense correspondences-we present a fully automated virtual try-on system that dresses complex, multi-layer garments onto diverse, arbitrarily posed humanoids. Our key idea is to use SMPL as an interme...
journal
10.1145/3811307
official
2509.05030
title_judge
10.1145/3811333
GMT: A Geometric Multigrid Transformer Solver for Microstructure Homogenization
https://doi.org/10.1145/3811333
[ "Yu Xing", "Yang Liu", "Tianyang Xue", "Lin Lu" ]
Lattice metamaterials enable lightweight, multifunctional structures, yet homogenization-based evaluation of their effective properties remains computationally expensive. Neural surrogates offer speed but often lack the accuracy and stability required for engineering-grade simulations. We introduce GMT, a G eometric M ...
journal
10.1145/3811333
official
2604.26518
title_snapshot
10.1145/3811296
Differentiable Neutron Transport
https://doi.org/10.1145/3811296
[ "Xi Deng", "Maosen Tang", "Michael Czekanski", "David Bindel", "Steve Marschner" ]
Neutron transport simulation plays a central role in nuclear engineering, yet its inverse problems—such as shielding design and sensitivity analysis—remain extremely challenging. The governing transport equation shares a common mathematical foundation with the volume rendering equation used for participating media in c...
journal
10.1145/3811296
official
null
null
10.1145/3811292
Kinetic Predicted-Moment Flux Reconstruction for High-Order High-Performance Fluid Simulation
https://doi.org/10.1145/3811292
[ "Zike Xu", "Xuan Zhang", "Xiaopei Liu" ]
The simultaneous pursuit of high fidelity, large computational throughput, and a minimal memory footprint has long constituted the central challenge in fluid simulation research. Yet state-of-the-art methods struggle to reconcile all these objectives, and often entail navigating trade-offs among them. We present Kineti...
journal
10.1145/3811292
official
null
null
10.1145/3811310
Floating-Point Robustness in Parametric Surface Continuous Collision Detection: From Algorithm to Benchmarking
https://doi.org/10.1145/3811310
[ "Xuwen Chen", "Junyu Wang", "Cheng Yu", "Xingyu Ni", "Meng Zhang", "Bin Wang", "Mengyu Chu", "Baoquan Chen" ]
Continuous Collision Detection is essential in simulation and modeling for accurately identifying object collisions. While robust CCD techniques have matured for triangle meshes, ensuring floating-point robustness for parametric surfaces remains an open challenge due to their representational complexity and heightened ...
journal
10.1145/3811310
official
null
null
10.1145/3811275
Heterogeneous Subspace Corrections for GPU Deformable Multibody Dynamics
https://doi.org/10.1145/3811275
[ "Dewen Guo", "Zhendong Wang", "Minchen Li", "Sheng Li", "Guoping Wang", "Huamin Wang", "Chenfanfu Jiang", "Yin Yang" ]
Simulating heterogeneous multibody systems with both deformable and stiff components remains a challenge for GPU solvers. While Newton-Krylov methods are popular for their matrix-free nature and good GPU compatibility, they often suffer from severe ill-conditioning and slow convergence when handling stiff contacts and ...
journal
10.1145/3811275
official
null
null
10.1145/3811309
Matérn Noise for Triangulation-Agnostic Flow Matching on Meshes
https://doi.org/10.1145/3811309
[ "Tianshu Kuai", "Arman Maesumi", "Daniel Ritchie", "Noam Aigerman" ]
This paper tackles the task of learning to generate signals over triangle meshes in a triangulation-agnostic manner, meaning the trained model can be applied to different meshes and triangulations effectively. Practically, the paper adapts the flow matching (FM) paradigm to a mesh-based, triangulation-agnostic setting....
journal
10.1145/3811309
official
2605.19305
title_snapshot
10.1145/3811385
Points as Tori: Fast Pointwise Signed Distance for Point Clouds
https://doi.org/10.1145/3811385
[ "Nicole Feng", "Ioannis Gkioulekas", "Keenan Crane" ]
We describe a method for computing signed distance to point clouds that allows fast pointwise evaluation at arbitrary spatial resolution. As input, our method takes a point cloud with normals; as output, it provides an analytical parameterization that allows queries of signed distance to the approximate underlying surf...
journal
10.1145/3811385
official
2607.16946
title_snapshot
10.1145/3811298
Implicit Surface Compression -- with Good Old Discrete Cosine Transform and Motion Compensation
https://doi.org/10.1145/3811298
[ "Tao Jin", "Shengxi Wu", "Tianshu Huang", "Mallesham Dasari", "Srinivasan Seshan", "Anthony Rowe" ]
The rapid adoption of volumetric capture technologies has created a pressing need for efficient storage and streaming of dynamic 3D content. Unfortunately, current compression standards often treat dynamic sequences as independent frames or rely on computationally expensive non-rigid registration, making them unsuitabl...
journal
10.1145/3811298
official
null
null
10.1145/3811327
YASPS: A Symbolic Framework for Extensible, High-Performance IPC Simulation
https://doi.org/10.1145/3811327
[ "Xuan Tang", "Kemeng Huang", "Gilbert Bernstein", "Minchen Li", "Tzumao Li" ]
Incremental Potential Contact (IPC) has emerged as a robust and unifying formulation for contact-rich physical simulation by casting elasticity and collision handling as a single energy minimization problem. Achieving high performance, however, typically requires heavily specialized implementations that hard-code assum...
journal
10.1145/3811327
official
2605.23088
title_snapshot
10.1145/3811274
JGS2-GQ: Training-free 2nd Jacobi with Gaussian Quadrature
https://doi.org/10.1145/3811274
[ "Dewen Guo", "Zixuan Lu", "Zhiyong He", "Yuqi Meng", "Bohan Wang", "Lei Lan", "Weiwei Xu", "Chenfanfu Jiang", "Yin Yang" ]
JGS2 is a Jacobi-like GPU simulation algorithm. It avoids the overshooting issue by augmenting each subproblem with a perturbation subspace that predicts the global influence of the local solve. The efficiency of JGS2 is due to Cubature-based subspace integration at each subproblem. Being a data-driven method, Cubature...
journal
10.1145/3811274
official
null
null
10.1145/3811284
Autoregressive Diffusion with Hybrid Representation for Interactive Human Motion Generation
https://doi.org/10.1145/3811284
[ "Kaifeng Zhao", "Mathis Petrovich", "Haotian Zhang", "Tingwu Wang", "Siyu Tang", "Davis Rempe" ]
Generating realistic 3D human motions in real-time within interactive applications is key for animation, simulation, and humanoid robotics. While recent offline motion generation approaches offer precise control via text and kinematic constraints, they lack the inference speed required for interactive settings. Convers...
journal
10.1145/3811284
official
2607.08741
title_judge
10.1145/3811393
Co-Optimization of Structure and Manufacturable Semi-Continuous Layers for Laminated Composites
https://doi.org/10.1145/3811393
[ "Tao Liu", "Aoran Lyu", "Yongxue Chen", "Yu Jiang", "Michael James Petty", "Charlie C. L. Wang" ]
To enable the design and manufacturing of optimized composite structures using fabric plies, we propose a field-driven optimization framework that jointly optimizes structural topology and manufacturable layers. A central challenge in this setting is the modeling and optimization of partial fabric layers with near-unif...
journal
10.1145/3811393
official
null
null
10.1145/3811279
Component Modes Synthesis Method with Multiple Partitions for Large-scale Eigenvalue Problem
https://doi.org/10.1145/3811279
[ "Chongyao Zhao", "Junzhou Yin", "Hujun Bao", "Jin Huang" ]
For large-scale modal analysis problems, Component Mode Synthesis (CMS) methods are very attractive, as they reduce the global problem into smaller subproblems on substructures. However, the substructure bases do not span the desired solution space efficiently, thus the error decreases slowly as the number of substruct...
journal
10.1145/3811279
official
null
null
10.1145/3811286
Strips as Tokens: Artist Mesh Generation with Native UV Segmentation
https://doi.org/10.1145/3811286
[ "Rui Xu", "Dafei Qin", "Kaichun Qiao", "Qiujie Dong", "Huaijin Pi", "Qixuan Zhang", "Longwen Zhang", "Lan Xu", "Jingyi Yu", "Wenping Wang", "Taku Komura" ]
Recent advancements in autoregressive transformers have demonstrated remarkable potential for generating artist-quality meshes. However, the token ordering strategies employed by existing methods typically fail to meet professional artist standards, where coordinate-based sorting yields inefficiently long sequences, an...
journal
10.1145/3811286
official
2604.09132
title_snapshot
10.1145/3811347
CasLayout: Cascaded 3D Layout Diffusion for Indoor Scene Synthesis with Implicit Relation Modeling
https://doi.org/10.1145/3811347
[ "Yingrui Wu", "You-Kang Kong", "Mingyang Zhao", "Weize Quan", "Dongmin Yan", "Yang Liu" ]
Synthesizing realistic 3D indoor scenes remains challenging due to data scarcity and the difficulty of simultaneously enforcing global architectural constraints and local semantic consistency. Existing approaches often overlook structural boundaries or rely on fully connected relation graphs that introduce redundant ge...
journal
10.1145/3811347
official
2604.27361
title_snapshot
10.1145/3811361
HumanFlow: Controllable Human Image Generation via Flow Matching
https://doi.org/10.1145/3811361
[ "Wenzhuo Fan", "Hongsheng Zheng", "Jianchi Sun", "Fei Fang", "Hong Ding", "Chunxia Xiao" ]
We present HumanFlow, a unified flow-matching-based framework that enables high-fidelity and controllable full-body human image generation under diverse human-centric control conditions. Despite recent progress, controllable human image generation poses a fundamental challenge in balancing high visual fidelity with str...
journal
10.1145/3811361
official
null
null
10.1145/3811355
NeuBase: Spline Surfaces with Neural Basis Functions
https://doi.org/10.1145/3811355
[ "Anshul Mendiratta", "Lei Yang", "Xin Li", "John Keyser", "Scott Schaefer", "Wenping Wang" ]
We introduce NeuBase , a neural parametric surface representation that both accurately fits target surfaces with fine geometric detail and supports intuitive real time surface deformation. NeuBase consists of a Catmull-Clark subdivision base surface and an offset field defined by a set of neural basis functions encoded...
journal
10.1145/3811355
official
null
null
10.1145/3811277
Interactive Yarn-level Knitwear with Nested Douglas-Rachford Splitting
https://doi.org/10.1145/3811277
[ "Chun Yuan", "Zixuan Lu", "Haoyang Shi", "Dewen Guo", "Huamin Wang", "Chenfanfu Jiang", "Zherong Pan", "Kui Wu", "Yin Yang" ]
While yarn-level garments offer rich dynamic details and compelling visual realism compared to triangle-based models, their wide adoption is hindered by the immense computational cost due to the presence of a large number of degrees of freedom (DOFs). This paper proposes a novel simulation framework designed to enhance...
journal
10.1145/3811277
official
null
null
10.1145/3811315
Fast VEM Fluid Simulation
https://doi.org/10.1145/3811315
[ "Runze Zhang", "Bo Ren" ]
The intricate motion arising from fluid-boundary interactions is visually compelling, yet notoriously difficult and computationally expensive to simulate in the presence of complex boundaries. Accurately resolving boundary geometry requires body-fitted grids constructed via cut-cell methods, which often leads to poorly...
journal
10.1145/3811315
official
2607.17725
title_snapshot
10.1145/3811329
Sample Matching for Joint Extinction Gradient Estimation in Differentiable Volume Rendering
https://doi.org/10.1145/3811329
[ "Ruihan Yu", "Yu-Chen Wang", "Jingwang Ling", "Feng Xu", "Shuang Zhao" ]
Differentiable volume rendering enables gradient-based optimization of volumetric scenes, but unbiased estimators suffer from high gradient variance. We observe that the extinction gradients split into two components on structurally different integration domains: a scattering term evaluated at a single path vertex, and...
journal
10.1145/3811329
official
null
null
10.1145/3811337
DiffSurFlow: Efficient and Robust Differentiable Fluid Optimization via Surrogate Strategy on Flow Map
https://doi.org/10.1145/3811337
[ "Yuhao Quan", "Hui Wang", "Weile Lian", "Zhi Wang", "Xubo Yang" ]
This paper presents a highly efficient and robust differentiable flu::id framework, centered on a novel surrogate gradient method that utilizes the flow map structural advantages. Our key insight reveals a significant misalignment between computational intensity and gradient importance during the backward pass. Specifi...
journal
10.1145/3811337
official
null
null
10.1145/3811312
Mixwell: Sharp 2D Fluid Brushes for Progressive Physics-Based Mixing
https://doi.org/10.1145/3811312
[ "Doug James", "Ethan James" ]
We present Mixwell, a family of sharp 2D fluid brushes and GPU-accelerated analytical methods for progressive, resolution-independent physics-based mixing. Derived from idealized potential flow around a cylindrical tine, Mixwell includes a cusped, Kelvinlet-style regularized velocity brush that parsimoniously captures ...
journal
10.1145/3811312
official
null
null
10.1145/3811297
AniGen: Unified S 3 Fields for Animatable 3D Asset Generation
https://doi.org/10.1145/3811297
[ "Yi-Hua Huang", "Zi-Xin Zou", "Yuting He", "Chirui Chang", "Cheng-Feng Pu", "Ziyi Yang", "Yuan-Chen Guo", "Yan-Pei Cao", "Xiaojuan Qi" ]
Animatable 3D assets, defined as geometry equipped with an articulated skeleton and skinning weights, are fundamental to interactive graphics, embodied agents, and animation production. While recent 3D generative models can synthesize visually plausible shapes from images, the results are typically static. Obtaining us...
journal
10.1145/3811297
official
2604.08746
title_snapshot
10.1145/3811330
SharpNet: Enhancing MLPs to Represent Functions with Controlled Non-differentiability
https://doi.org/10.1145/3811330
[ "Hanting Niu", "Junkai Deng", "Fei Hou", "Wencheng Wang", "Ying He" ]
College of Computing and Data Science, Nanyang Technological University, Singapore Multi-layer perceptrons (MLPs) are a standard tool for learning and function approximation, but they inherently produce globally smooth outputs. Consequently, they struggle to represent functions that are continuous yet intentionally non...
journal
10.1145/3811330
official
2601.19683
title_snapshot
10.1145/3811314
Schrödinger Bridges on Discretized Geometric Domains
https://doi.org/10.1145/3811314
[ "Leticia Mattos Da Silva", "Mohammad Sina Nabizadeh", "Justin Solomon" ]
We introduce a spatially discrete formulation of the Schrödinger bridge problem on meshes and grids that enables structure-preserving and scalable interpolation between probability distributions. Our approach builds on the duality between entropy-regularized optimal transport and the log-heat equation, deriving a discr...
journal
10.1145/3811314
official
null
null
10.1145/3811369
Gabor Fields: Orientation-Selective Level-of-Detail for Volume Rendering
https://doi.org/10.1145/3811369
[ "Jorge Condor", "Nicolai Hermann", "Mehmet Ata Yurtsever", "Piotr Didyk" ]
Gaussian-based representations have enabled efficient physically-based volume rendering at a fraction of the memory cost of regular, discrete, voxel-based distributions. One of the remaining advantages of classic voxel grids, however, is the ease of constructing hierarchical representations by either storing volumetric...
journal
10.1145/3811369
official
2602.05081
title_snapshot
10.1145/3811331
Explicit flows for implicit surfaces
https://doi.org/10.1145/3811331
[ "Camille Buonomo", "Julie Digne", "Raphaëlle Chaine" ]
Shape deformation for morphing or editing purposes is a central challenge in Computer Graphics. While numerous methods exist, few allow for the explicit evaluation of the deformation at arbitrary times and locations directly, without resorting to intricate advection or interpolation schemes. In this paper, we propose a...
journal
10.1145/3811331
official
null
null
10.1145/3811283
NILE: Nested Interleaving of Low-Dimensional Elements
https://doi.org/10.1145/3811283
[ "Abdalla Ahmed", "Matt Pharr", "Victor Ostromoukhov", "Hui Huang" ]
Sampling strategies in computer graphics have long been divided between local approaches, which optimize sample distributions independently at each pixel, and global approaches, which use high-dimensional low-discrepancy sequences to ensure uniformity across all dimensions, including adjacent pixels. While global sampl...
journal
10.1145/3811283
official
null
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