NSF: Neural Surface Fields for Human Modeling from Monocular Depth-Reference-Cited by-同舟云学术

NSF: Neural Surface Fields for Human Modeling from Monocular Depth

Published:2023-10-01 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF International Conference on Computer Vision (ICCV)
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Author:

Xue Yuxuan¹,Bhatnagar Bharat Lal¹,Marin Riccardo¹,Sarafianos Nikolaos²,Xu Yuanlu²,Pons-Moll Gerard¹,Tung Tony²

Affiliation:

1. Tübingen AI Center

2. Meta Reality Labs Research

Funder

Deutsche Forschungsgemeinschaft

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10376473/10376477/10378067.pdf?arnumber=10378067

Reference75 articles.

1. Learning to Reconstruct People in Clothing From a Single RGB Camera

2. Combining Implicit Function Learning and Parametric Models for 3D Human Reconstruction

3. Loopreg: Self-supervised learning of implicit surface correspondences, pose and shape for 3d human mesh registration;Bhatnagar;Advances in Neural Information Processing Systems (NeurIPS),2020

4. Multi-Garment Net: Learning to Dress 3D People From Images

5. BEHAVE: Dataset and Method for Tracking Human Object Interactions

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