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20212026
most citedDressing Avatars: Deep Photorealistic Appearance for Physically Simulated Clothing

59 citations · 75 across the 20 of their papers we have counts for

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10 papers · 1 filter

cs.CV2026

RigidFormer: Learning Rigid Dynamics using Transformers

Zhiyang Dou, Minghao Guo, Haixu Wu +3

Learning-based simulation of multi-object rigid-body dynamics remains difficult because contact is discontinuous and errors compound over long horizons. Most existing methods remai…

cs.CV2026

HairWeaver: Few-Shot Photorealistic Hair Motion Synthesis with Sim-to-Real Guided Video Diffusion

Di Chang, Ji Hou, Aljaz Bozic +8

We present HairWeaver, a diffusion-based pipeline that animates a single human image with realistic and expressive hair dynamics. While existing methods successfully control body p…

cs.CV2024

Quaffure: Real-Time Quasi-Static Neural Hair Simulation

Tuur Stuyck, Gene Wei-Chin Lin, Egor Larionov +4

Realistic hair motion is crucial for high-quality avatars, but it is often limited by the computational resources available for real-time applications. To address this challenge, w…

cs.CV2024

3D Mesh Editing using Masked LRMs

Will Gao, Dilin Wang, Yuchen Fan +6

We present a novel approach to shape editing, building on recent progress in 3D reconstruction from multi-view images. We formulate shape editing as a conditional reconstruction pr…

cs.CV2024★ 2 cited

Garment3DGen: 3D Garment Stylization and Texture Generation

Nikolaos Sarafianos, Tuur Stuyck, Xiaoyu Xiang +3

We introduce Garment3DGen a new method to synthesize 3D garment assets from a base mesh given a single input image as guidance. Our proposed approach allows users to generate 3D te…

cs.CV2023

DiffAvatar: Simulation-Ready Garment Optimization with Differentiable Simulation

Yifei Li, Hsiao-yu Chen, Egor Larionov +3

The realism of digital avatars is crucial in enabling telepresence applications with self-expression and customization. While physical simulations can produce realistic motions for…

cs.CV2022★ 1 cited

NeuWigs: A Neural Dynamic Model for Volumetric Hair Capture and Animation

Ziyan Wang, Giljoo Nam, Tuur Stuyck +6

The capture and animation of human hair are two of the major challenges in the creation of realistic avatars for the virtual reality. Both problems are highly challenging, because…

cs.CV2022★ 7 cited

Garment Avatars: Realistic Cloth Driving using Pattern Registration

Oshri Halimi, Fabian Prada, Tuur Stuyck +7

Virtual telepresence is the future of online communication. Clothing is an essential part of a person's identity and self-expression. Yet, ground truth data of registered clothes i…

cs.CV2022

Virtual Elastic Objects

Hsiao-yu Chen, Edgar Tretschk, Tuur Stuyck +4

We present Virtual Elastic Objects (VEOs): virtual objects that not only look like their real-world counterparts but also behave like them, even when subject to novel interactions.…

cs.CV2021

HVH: Learning a Hybrid Neural Volumetric Representation for Dynamic Hair Performance Capture

Ziyan Wang, Giljoo Nam, Tuur Stuyck +4

Capturing and rendering life-like hair is particularly challenging due to its fine geometric structure, the complex physical interaction and its non-trivial visual appearance.Yet,…