activity
20172022
most citedDeep Detail Enhancement for Any Garment

3 citations · 4 across the 3 of their papers we have counts for

collaborators

5 papers

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.CV20211 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.GR20203 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…