activity
20172023
most citedMotionGPT: Human Motion as a Foreign Language

54 citations · 117 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CV2023★ 54 cited

MotionGPT: Human Motion as a Foreign Language

Biao Jiang, Xin Chen, Wen Liu +3

Though the advancement of pre-trained large language models unfolds, the exploration of building a unified model for language and other multi-modal data, such as motion, remains ch…

cs.CV2022★ 14 cited

Executing your Commands via Motion Diffusion in Latent Space

Xin Chen, Biao Jiang, Wen Liu +5

We study a challenging task, conditional human motion generation, which produces plausible human motion sequences according to various conditional inputs, such as action classes or…

cs.CV2022★ 5 cited

Learning Variational Motion Prior for Video-based Motion Capture

Xin Chen, Zhuo Su, Lingbo Yang +4

Motion capture from a monocular video is fundamental and crucial for us humans to naturally experience and interact with each other in Virtual Reality (VR) and Augmented Reality (A…

cs.CV2021★ 1 cited

Neural Free-Viewpoint Performance Rendering under Complex Human-object Interactions

Guoxing Sun, Xin Chen, Yizhang Chen +6

4D reconstruction of human-object interaction is critical for immersive VR/AR experience and human activity understanding. Recent advances still fail to recover fine geometry and t…

cs.CV2021★ 12 cited

Few-shot Neural Human Performance Rendering from Sparse RGBD Videos

Anqi Pang, Xin Chen, Haimin Luo +3

Recent neural rendering approaches for human activities achieve remarkable view synthesis results, but still rely on dense input views or dense training with all the capture frames…

cs.CV2021★ 4 cited

SportsCap: Monocular 3D Human Motion Capture and Fine-grained Understanding in Challenging Sports Videos

Xin Chen, Anqi Pang, Wei Yang +3

Markerless motion capture and understanding of professional non-daily human movements is an important yet unsolved task, which suffers from complex motion patterns and severe self-…