activity
20172024
most citedNeural Garment Dynamics via Manifold-Aware Transformers

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

collaborators

12 papers

cs.CV2024★ 1 cited

Pattern Guided UV Recovery for Realistic Video Garment Texturing

Youyi Zhan, Tuanfeng Y. Wang, Tianjia Shao +1

The fast growth of E-Commerce creates a global market worth USD 821 billion for online fashion shopping. What unique about fashion presentation is that, the same design can usually…

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.CV2023

Generative Rendering: Controllable 4D-Guided Video Generation with 2D Diffusion Models

Shengqu Cai, Duygu Ceylan, Matheus Gadelha +3

Traditional 3D content creation tools empower users to bring their imagination to life by giving them direct control over a scene's geometry, appearance, motion, and camera path. C…

cs.CV2023

Blowing in the Wind: CycleNet for Human Cinemagraphs from Still Images

Hugo Bertiche, Niloy J. Mitra, Kuldeep Kulkarni +5

Cinemagraphs are short looping videos created by adding subtle motions to a static image. This kind of media is popular and engaging. However, automatic generation of cinemagraphs…

cs.CV2023

Normal-guided Garment UV Prediction for Human Re-texturing

Yasamin Jafarian, Tuanfeng Y. Wang, Duygu Ceylan +4

Clothes undergo complex geometric deformations, which lead to appearance changes. To edit human videos in a physically plausible way, a texture map must take into account not only…

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.CV2022

Learning Motion-Dependent Appearance for High-Fidelity Rendering of Dynamic Humans from a Single Camera

Jae Shin Yoon, Duygu Ceylan, Tuanfeng Y. Wang +4

Appearance of dressed humans undergoes a complex geometric transformation induced not only by the static pose but also by its dynamics, i.e., there exists a number of cloth geometr…

cs.CV2021

Dance In the Wild: Monocular Human Animation with Neural Dynamic Appearance Synthesis

Tuanfeng Y. Wang, Duygu Ceylan, Krishna Kumar Singh +1

Synthesizing dynamic appearances of humans in motion plays a central role in applications such as AR/VR and video editing. While many recent methods have been proposed to tackle th…

cs.CV2021★ 1 cited

Dynamic Neural Garments

Meng Zhang, Duygu Ceylan, Tuanfeng Wang +1

A vital task of the wider digital human effort is the creation of realistic garments on digital avatars, both in the form of characteristic fold patterns and wrinkles in static fra…

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…