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Simple-RF: Regularizing Sparse Input Radiance Fields with Simpler
  Solutions

Simple-RF: Regularizing Sparse Input Radiance Fields with Simpler Solutions

29 April 2024
Nagabhushan Somraj
S. H. Mupparaju
Adithyan Karanayil
R. Soundararajan
ArXivPDFHTML

Papers citing "Simple-RF: Regularizing Sparse Input Radiance Fields with Simpler Solutions"

5 / 5 papers shown
Title
The More You See in 2D, the More You Perceive in 3D
The More You See in 2D, the More You Perceive in 3D
Xinyang Han
Zelin Gao
Angjoo Kanazawa
Shubham Goel
Yossi Gandelsman
DiffM
43
3
0
04 Apr 2024
Is Vanilla MLP in Neural Radiance Field Enough for Few-shot View
  Synthesis?
Is Vanilla MLP in Neural Radiance Field Enough for Few-shot View Synthesis?
Hanxin Zhu
Tianyu He
Xin Li
Bingchen Li
Zhibo Chen
37
10
0
10 Mar 2024
FreeNeRF: Improving Few-shot Neural Rendering with Free Frequency
  Regularization
FreeNeRF: Improving Few-shot Neural Rendering with Free Frequency Regularization
Jiawei Yang
Marco Pavone
Yue Wang
113
260
0
13 Mar 2023
Dense Depth Priors for Neural Radiance Fields from Sparse Input Views
Dense Depth Priors for Neural Radiance Fields from Sparse Input Views
Barbara Roessle
Jonathan T. Barron
B. Mildenhall
Pratul P. Srinivasan
Matthias Nießner
VGen
120
352
0
06 Dec 2021
NeRS: Neural Reflectance Surfaces for Sparse-view 3D Reconstruction in
  the Wild
NeRS: Neural Reflectance Surfaces for Sparse-view 3D Reconstruction in the Wild
Jason Y. Zhang
Gengshan Yang
Shubham Tulsiani
Deva Ramanan
126
151
0
14 Oct 2021
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