VDN-NeRF: Resolving Shape-Radiance Ambiguity via View-Dependence Normalization
Author:
Affiliation:
1. Zhejiang University,The State Key Lab of CAD&CG
2. The University of Hong Kong, Institute of Data Science,The department of EEE
3. Stanford University
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10203037/10203050/10205183.pdf?arnumber=10205183
Reference56 articles.
1. Geo-neus: Geometry-consistent neural implicit surfaces learning for multi-view reconstruction;fu;ArXiv Preprint,2022
2. Plenoxels: Radiance Fields without Neural Networks
3. NeRFactor
4. Dynamic View Synthesis from Dynamic Monocular Video
5. Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar Reconstruction
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1. MVD-NeRF: Resolving Shape-Radiance Ambiguity via Mitigating View Dependency;MultiMedia Modeling;2024
2. Robust Novel View Synthesis with Color Transform Module;Computer Graphics Forum;2023-10
3. JacobiNeRF: NeRF Shaping with Mutual Information Gradients;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06
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