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

12 citations · 25 across the 9 of their papers we have counts for

collaborators

12 papers

cs.GR20223 cited

Human Performance Modeling and Rendering via Neural Animated Mesh

Fuqiang Zhao, Yuheng Jiang, Kaixin Yao +8

We have recently seen tremendous progress in the neural advances for photo-real human modeling and rendering. However, it's still challenging to integrate them into an existing mes…

cs.CV2022

NeuralHOFusion: Neural Volumetric Rendering under Human-object Interactions

Yuheng Jiang, Suyi Jiang, Guoxing Sun +5

4D modeling of human-object interactions is critical for numerous applications. However, efficient volumetric capture and rendering of complex interaction scenarios, especially fro…

cs.CV20224 cited

Fourier PlenOctrees for Dynamic Radiance Field Rendering in Real-time

Liao Wang, Jiakai Zhang, Xinhang Liu +6

Implicit neural representations such as Neural Radiance Field (NeRF) have focused mainly on modeling static objects captured under multi-view settings where real-time rendering can…

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.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…

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…