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20172024
most citedNeural Garment Dynamics via Manifold-Aware Transformers

5 citations · 10 across the 10 of their papers we have counts for

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cs.GR2024★ 5 cited

Neural Garment Dynamics via Manifold-Aware Transformers

Peizhuo Li, Tuanfeng Y. Wang, Timur Levent Kesdogan +2

Data driven and learning based solutions for modeling dynamic garments have significantly advanced, especially in the context of digital humans. However, existing approaches often…

cs.GR2022

A Repulsive Force Unit for Garment Collision Handling in Neural Networks

Qingyang Tan, Yi Zhou, Tuanfeng Wang +3

Despite recent success, deep learning-based methods for predicting 3D garment deformation under body motion suffer from interpenetration problems between the garment and the body.…

cs.GR2020★ 3 cited

Deep Detail Enhancement for Any Garment

Meng Zhang, Tuanfeng Wang, Duygu Ceylan +1

Creating fine garment details requires significant efforts and huge computational resources. In contrast, a coarse shape may be easy to acquire in many scenarios (e.g., via low-res…

cs.GR2018

Learning a Shared Shape Space for Multimodal Garment Design

Tuanfeng Y. Wang, Duygu Ceylan, Jovan Popovic +1

Designing real and virtual garments is becoming extremely demanding with rapidly changing fashion trends and increasing need for synthesizing realistic dressed digital humans for v…

cs.GR2017

Joint Material and Illumination Estimation from Photo Sets in the Wild

Tuanfeng Y. Wang, Tobias Ritschel, Niloy J. Mitra

Faithful manipulation of shape, material, and illumination in 2D Internet images would greatly benefit from a reliable factorization of appearance into material (i.e., diffuse and…