Learning Neural Volumetric Representations of Dynamic Humans in Minutes-Reference-Cited by-同舟云学术

Learning Neural Volumetric Representations of Dynamic Humans in Minutes

Published:2023-06 Issue: Volume: Page:
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Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Geng Chen¹,Peng Sida¹,Xu Zhen¹,Bao Hujun¹,Zhou Xiaowei¹

Affiliation:

1. Zhejiang University,State Key Laboratory of CAD&CG

Funder

NSFC

Zhejiang University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10203037/10203050/10205405.pdf?arnumber=10205405

Reference105 articles.

1. Animatable neural implicit surfaces for creating avatars from videos;peng;ArXiv Preprint,2022

2. Animatable neural radiance fields for modeling dynamic human bodies;peng;Proceedings of the IEEE/CVF International Conference on Computer Vision,2021

3. D-NeRF: Neural Radiance Fields for Dynamic Scenes

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

5. Pytorch: An imperative style, high-performance deep learning library;paszke;NeurIPS,0

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