activity
20202022
most citedNeural Body: Implicit Neural Representations with Structured Latent Codes for Novel View Synthesis of Dynamic Humans

21 citations · 25 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2022

Reconstructing Hand-Held Objects from Monocular Video

Di Huang, Xiaopeng Ji, Xingyi He +5

This paper presents an approach that reconstructs a hand-held object from a monocular video. In contrast to many recent methods that directly predict object geometry by a trained n…

cs.CV2021

Animatable Neural Radiance Fields for Modeling Dynamic Human Bodies

Sida Peng, Junting Dong, Qianqian Wang +4

This paper addresses the challenge of reconstructing an animatable human model from a multi-view video. Some recent works have proposed to decompose a non-rigidly deforming scene i…

cs.CV20212 cited

Reconstructing 3D Human Pose by Watching Humans in the Mirror

Qi Fang, Qing Shuai, Junting Dong +2

In this paper, we introduce the new task of reconstructing 3D human pose from a single image in which we can see the person and the person's image through a mirror. Compared to gen…

cs.CV202021 cited

Neural Body: Implicit Neural Representations with Structured Latent Codes for Novel View Synthesis of Dynamic Humans

Sida Peng, Yuanqing Zhang, Yinghao Xu +4

This paper addresses the challenge of novel view synthesis for a human performer from a very sparse set of camera views. Some recent works have shown that learning implicit neural…

cs.CV20202 cited

Motion Capture from Internet Videos

Junting Dong, Qing Shuai, Yuanqing Zhang +3

Recent advances in image-based human pose estimation make it possible to capture 3D human motion from a single RGB video. However, the inherent depth ambiguity and self-occlusion i…