activity
20202025
most citedDriving-Signal Aware Full-Body Avatars

71 citations · 150 across the 6 of their papers we have counts for

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7 papers · 1 filter

cs.CV2025

ATLAS: Decoupling Skeletal and Shape Parameters for Expressive Parametric Human Modeling

Jinhyung Park, Javier Romero, Shunsuke Saito +7

Parametric body models offer expressive 3D representation of humans across a wide range of poses, shapes, and facial expressions, typically derived by learning a basis over registe…

cs.CV2025

FRESA: Feedforward Reconstruction of Personalized Skinned Avatars from Few Images

Rong Wang, Fabian Prada, Ziyan Wang +10

We present a novel method for reconstructing personalized 3D human avatars with realistic animation from only a few images. Due to the large variations in body shapes, poses, and c…

cs.CV2025

Relightable Full-Body Gaussian Codec Avatars

Shaofei Wang, Tomas Simon, Igor Santesteban +15

We propose Relightable Full-Body Gaussian Codec Avatars, a new approach for modeling relightable full-body avatars with fine-grained details including face and hands. The unique ch…

cs.CV2023

Diffusion Shape Prior for Wrinkle-Accurate Cloth Registration

Jingfan Guo, Fabian Prada, Donglai Xiang +5

Registering clothes from 4D scans with vertex-accurate correspondence is challenging, yet important for dynamic appearance modeling and physics parameter estimation from real-world…

cs.CV202171 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.CV202163 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…