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20212024
most citedSingle-image Full-body Human Relighting

12 citations · 27 across the 16 of their papers we have counts for

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6 papers · 1 filter

cs.CV2021

Contact-Aware Retargeting of Skinned Motion

Ruben Villegas, Duygu Ceylan, Aaron Hertzmann +2

This paper introduces a motion retargeting method that preserves self-contacts and prevents interpenetration. Self-contacts, such as when hands touch each other or the torso or the…

cs.CV2021★ 7 cited

Pose with Style: Detail-Preserving Pose-Guided Image Synthesis with Conditional StyleGAN

Badour AlBahar, Jingwan Lu, Jimei Yang +3

We present an algorithm for re-rendering a person from a single image under arbitrary poses. Existing methods often have difficulties in hallucinating occluded contents photo-reali…

cs.CV2021

Stochastic Scene-Aware Motion Prediction

Mohamed Hassan, Duygu Ceylan, Ruben Villegas +4

A long-standing goal in computer vision is to capture, model, and realistically synthesize human behavior. Specifically, by learning from data, our goal is to enable virtual humans…

cs.CV2021★ 12 cited

Single-image Full-body Human Relighting

Manuel Lagunas, Xin Sun, Jimei Yang +5

We present a single-image data-driven method to automatically relight images with full-body humans in them. Our framework is based on a realistic scene decomposition leveraging pre…

cs.CV2021★ 3 cited

Task-Generic Hierarchical Human Motion Prior using VAEs

Jiaman Li, Ruben Villegas, Duygu Ceylan +4

A deep generative model that describes human motions can benefit a wide range of fundamental computer vision and graphics tasks, such as providing robustness to video-based human p…

cs.CV2021

HuMoR: 3D Human Motion Model for Robust Pose Estimation

Davis Rempe, Tolga Birdal, Aaron Hertzmann +3

We introduce HuMoR: a 3D Human Motion Model for Robust Estimation of temporal pose and shape. Though substantial progress has been made in estimating 3D human motion and shape from…