MixNeRF: Modeling a Ray with Mixture Density for Novel View Synthesis from Sparse Inputs-Reference-Cited by-同舟云学术

MixNeRF: Modeling a Ray with Mixture Density for Novel View Synthesis from Sparse Inputs

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

Seo Seunghyeon¹,Han Donghoon¹,Chang Yeonjin¹,Kwak Nojun¹

Affiliation:

1. Seoul National Univeristy

Funder

NRF

IITP

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10203037/10203050/10203640.pdf?arnumber=10203640

Reference43 articles.

1. Codenerf: Disentangled neural radiance fields for object categories;jang;Proceedings of the IEEE/CVF International Conference on Computer Vision,2021

2. Learning Accurate Dense Correspondences and When to Trust Them

3. Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis

4. Grf: Learning a general radiance field for 3d representation and rendering;trevithick;Proceedings of the IEEE/CVF International Conference on Computer Vision,2021

5. SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization

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