Predicting Loose-Fitting Garment Deformations Using Bone-Driven Motion Networks-Reference-Cited by-同舟云学术

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Predicting Loose-Fitting Garment Deformations Using Bone-Driven Motion Networks

Published:2022-08-07 Issue: Volume: Page:
ISSN:
Container-title:Special Interest Group on Computer Graphics and Interactive Techniques Conference Proceedings
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Author:

Pan Xiaoyu¹,Mai Jiaming¹,Jiang Xinwei²,Tang Dongxue²,Li Jingxiang²,Shao Tianjia³,Zhou Kun³,Jin Xiaogang¹,Manocha Dinesh⁴

Affiliation:

1. State Key Lab of CAD&CG, Zhejiang Univerisity, China and ZJU-Tencent Game and Intelligent Graphics Innovation Technology Joint Lab, China

2. Tencent NExT Studios, China

3. State Key Lab of CAD&CG, Zhejiang Univerisity, China

4. University of Maryland, United States of America

Funder

100 Talents Program of Zhejiang University

NSF China

National Natural Science Foundation of China

Ningbo Major Special Projects of the Science and Technology Innovation 2025

Publisher

ACM

Reference53 articles.

1. CLOTH3D: Clothed 3D Humans

3. DeePSD: Automatic Deep Skinning And Pose Space Deformation For 3D Garment Animation

4. Neural Deformation Graphs for Globally-consistent Non-rigid Reconstruction

5. Interactive skeleton-driven dynamic deformations

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1. TDGar-Ani: temporal motion fusion model and deformation correction network for enhancing garment animation details;The Visual Computer;2024-07-30

2. Efficient Deformation Learning of Varied Garments with a Structure-Preserving Multilevel Framework;Proceedings of the ACM on Computer Graphics and Interactive Techniques;2024-05-11

3. Neural Garment Dynamics via Manifold‐Aware Transformers;Computer Graphics Forum;2024-04-30

4. Generating diverse clothed 3D human animations via a generative model;Computational Visual Media;2024-01-03

5. Unsupervised 3D Articulated Object Correspondences with Part Approximation and Shape Refinement;Lecture Notes in Computer Science;2024

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