Search Results for author: Tuur Stuyck

Found 10 papers, 1 papers with code

Quaffure: Real-Time Quasi-Static Neural Hair Simulation

no code implementations13 Dec 2024 Tuur Stuyck, Gene Wei-Chin Lin, Egor Larionov, Hsiao-yu Chen, Aljaz Bozic, Nikolaos Sarafianos, Doug Roble

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

3D Mesh Editing using Masked LRMs

no code implementations11 Dec 2024 Will Gao, Dilin Wang, Yuchen Fan, Aljaz Bozic, Tuur Stuyck, Zhengqin Li, Zhao Dong, Rakesh Ranjan, Nikolaos Sarafianos

We formulate shape editing as a conditional reconstruction problem, where the model must reconstruct the input shape with the exception of a specified 3D region, in which the geometry should be generated from the conditional signal.

3D Reconstruction

Garment3DGen: 3D Garment Stylization and Texture Generation

1 code implementation27 Mar 2024 Nikolaos Sarafianos, Tuur Stuyck, Xiaoyu Xiang, Yilei Li, Jovan Popovic, Rakesh Ranjan

We introduce Garment3DGen a new method to synthesize 3D garment assets from a base mesh given a single input image as guidance.

Image to 3D Texture Synthesis

DiffAvatar: Simulation-Ready Garment Optimization with Differentiable Simulation

no code implementations CVPR 2024 Yifei Li, Hsiao-yu Chen, Egor Larionov, Nikolaos Sarafianos, Wojciech Matusik, Tuur Stuyck

By integrating physical simulation into the optimization loop and accounting for the complex nonlinear behavior of cloth and its intricate interaction with the body, our framework recovers body and garment geometry and extracts important material parameters in a physically plausible way.

Physical Simulations

PhysGraph: Physics-Based Integration Using Graph Neural Networks

no code implementations27 Jan 2023 Oshri Halimi, Egor Larionov, Zohar Barzelay, Philipp Herholz, Tuur Stuyck

Our contribution is based on a simple observation: evaluating forces is computationally relatively cheap for traditional simulation methods and can be computed in parallel in contrast to their integration.

Virtual Try-on

Dressing Avatars: Deep Photorealistic Appearance for Physically Simulated Clothing

no code implementations30 Jun 2022 Donglai Xiang, Timur Bagautdinov, Tuur Stuyck, Fabian Prada, Javier Romero, Weipeng Xu, Shunsuke Saito, Jingfan Guo, Breannan Smith, Takaaki Shiratori, Yaser Sheikh, Jessica Hodgins, Chenglei Wu

The key idea is to introduce a neural clothing appearance model that operates on top of explicit geometry: at training time we use high-fidelity tracking, whereas at animation time we rely on physically simulated geometry.

Virtual Elastic Objects

no code implementations CVPR 2022 Hsiao-yu Chen, Edgar Tretschk, Tuur Stuyck, Petr Kadlecek, Ladislav Kavan, Etienne Vouga, Christoph Lassner

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.

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

no code implementations CVPR 2022 Ziyan Wang, Giljoo Nam, Tuur Stuyck, Stephen Lombardi, Michael Zollhoefer, Jessica Hodgins, Christoph Lassner

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, hair is a critical component for believable avatars.

Neural Rendering Optical Flow Estimation

Cannot find the paper you are looking for? You can Submit a new open access paper.