SparseNeRF: Distilling Depth Ranking for Few-shot Novel View Synthesis

Author:

Wang Guangcong1,Chen Zhaoxi1,Loy Chen Change1,Liu Ziwei1

Affiliation:

1. S-Lab, Nanyang Technological University

Publisher

IEEE

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Fast radiance field reconstruction from sparse inputs;Pattern Recognition;2025-01

2. TVNeRF: Improving few-view neural volume rendering with total variation maximization;Knowledge-Based Systems;2024-10

3. NeRF-OR: neural radiance fields for operating room scene reconstruction from sparse-view RGB-D videos;International Journal of Computer Assisted Radiology and Surgery;2024-09-13

4. PIDSNeRF: pose interpolation depth supervision neural radiance fields for view synthesis from challenging input;Multimedia Tools and Applications;2024-08-06

5. A Construct-Optimize Approach to Sparse View Synthesis without Camera Pose;Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers '24;2024-07-13

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