activity
20172021
most citedFew-shot Neural Human Performance Rendering from Sparse RGBD Videos

12 citations · 25 across the 11 of their papers we have counts for

collaborators

16 papers

cs.CV20212 cited

Towards Controllable and Photorealistic Region-wise Image Manipulation

Ansheng You, Chenglin Zhou, Qixuan Zhang +1

Adaptive and flexible image editing is a desirable function of modern generative models. In this work, we present a generative model with auto-encoder architecture for per-region s…

cs.CV20211 cited

iButter: Neural Interactive Bullet Time Generator for Human Free-viewpoint Rendering

Liao Wang, Ziyu Wang, Pei Lin +5

Generating ``bullet-time'' effects of human free-viewpoint videos is critical for immersive visual effects and VR/AR experience. Recent neural advances still lack the controllable…

cs.CV20211 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.CV202112 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…

eess.IV2021

IREM: High-Resolution Magnetic Resonance (MR) Image Reconstruction via Implicit Neural Representation

Qing Wu, Yuwei Li, Lan Xu +7

For collecting high-quality high-resolution (HR) MR image, we propose a novel image reconstruction network named IREM, which is trained on multiple low-resolution (LR) MR images an…

cs.CV2021

PIANO: A Parametric Hand Bone Model from Magnetic Resonance Imaging

Yuwei Li, Minye Wu, Yuyao Zhang +2

Hand modeling is critical for immersive VR/AR, action understanding, or human healthcare. Existing parametric models account only for hand shape, pose, or texture, without modeling…