activity
20212023
most citedDriving-Signal Aware Full-Body Avatars

71 citations · 217 across the 6 of their papers we have counts for

collaborators

6 papers

cs.GR2023★ 16 cited

Drivable Avatar Clothing: Faithful Full-Body Telepresence with Dynamic Clothing Driven by Sparse RGB-D Input

Donglai Xiang, Fabian Prada, Zhe Cao +4

Clothing is an important part of human appearance but challenging to model in photorealistic avatars. In this work we present avatars with dynamically moving loose clothing that ca…

cs.CV2022★ 1 cited

Drivable Volumetric Avatars using Texel-Aligned Features

Edoardo Remelli, Timur Bagautdinov, Shunsuke Saito +8

Photorealistic telepresence requires both high-fidelity body modeling and faithful driving to enable dynamically synthesized appearance that is indistinguishable from reality. In t…

cs.CV2022★ 7 cited

Garment Avatars: Realistic Cloth Driving using Pattern Registration

Oshri Halimi, Fabian Prada, Tuur Stuyck +7

Virtual telepresence is the future of online communication. Clothing is an essential part of a person's identity and self-expression. Yet, ground truth data of registered clothes i…

cs.GR2022★ 59 cited

Dressing Avatars: Deep Photorealistic Appearance for Physically Simulated Clothing

Donglai Xiang, Timur Bagautdinov, Tuur Stuyck +10

Despite recent progress in developing animatable full-body avatars, realistic modeling of clothing - one of the core aspects of human self-expression - remains an open challenge. S…

cs.CV2021★ 71 cited

Driving-Signal Aware Full-Body Avatars

Timur Bagautdinov, Chenglei Wu, Tomas Simon +6

We present a learning-based method for building driving-signal aware full-body avatars. Our model is a conditional variational autoencoder that can be animated with incomplete driv…

cs.CV2021★ 63 cited

Modeling Clothing as a Separate Layer for an Animatable Human Avatar

Donglai Xiang, Fabian Prada, Timur Bagautdinov +5

We have recently seen great progress in building photorealistic animatable full-body codec avatars, but generating high-fidelity animation of clothing is still difficult. To addres…