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Enhancing Neural Radiance Fields with Depth and Normal Completion Priors
  from Sparse Views

Enhancing Neural Radiance Fields with Depth and Normal Completion Priors from Sparse Views

8 July 2024
Jiawei Guo
HungChyun Chou
Ning Ding
ArXiv (abs)PDFHTML

Papers citing "Enhancing Neural Radiance Fields with Depth and Normal Completion Priors from Sparse Views"

11 / 11 papers shown
Title
NeuRIS: Neural Reconstruction of Indoor Scenes Using Normal Priors
NeuRIS: Neural Reconstruction of Indoor Scenes Using Normal Priors
Jiepeng Wang
Peng Wang
Xiaoxiao Long
Christian Theobalt
Taku Komura
Lingjie Liu
Wenping Wang
3DV
50
146
0
27 Jun 2022
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
197
368
0
06 Dec 2021
Depth-supervised NeRF: Fewer Views and Faster Training for Free
Depth-supervised NeRF: Fewer Views and Faster Training for Free
Kangle Deng
Andrew Liu
Jun-Yan Zhu
Deva Ramanan
217
891
0
06 Jul 2021
Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis
Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis
Ajay Jain
Matthew Tancik
Pieter Abbeel
131
504
0
01 Apr 2021
MVSNeRF: Fast Generalizable Radiance Field Reconstruction from
  Multi-View Stereo
MVSNeRF: Fast Generalizable Radiance Field Reconstruction from Multi-View Stereo
Anpei Chen
Zexiang Xu
Fuqiang Zhao
Xiaoshuai Zhang
Fanbo Xiang
Jingyi Yu
Hao Su
152
803
0
29 Mar 2021
pixelNeRF: Neural Radiance Fields from One or Few Images
pixelNeRF: Neural Radiance Fields from One or Few Images
Alex Yu
Vickie Ye
Matthew Tancik
Angjoo Kanazawa
184
1,749
0
03 Dec 2020
Learned Initializations for Optimizing Coordinate-Based Neural
  Representations
Learned Initializations for Optimizing Coordinate-Based Neural Representations
Matthew Tancik
B. Mildenhall
Terrance Wang
Divi Schmidt
Pratul P. Srinivasan
Jonathan T. Barron
Ren Ng
112
291
0
03 Dec 2020
DeepView: View Synthesis with Learned Gradient Descent
DeepView: View Synthesis with Learned Gradient Descent
John Flynn
M. Broxton
P. Debevec
Matthew DuVall
Graham Fyffe
Ryan S. Overbeck
Noah Snavely
Richard Tucker
83
448
0
18 Jun 2019
Multi-Object Representation Learning with Iterative Variational
  Inference
Multi-Object Representation Learning with Iterative Variational Inference
Klaus Greff
Raphael Lopez Kaufman
Rishabh Kabra
Nicholas Watters
Christopher P. Burgess
Daniel Zoran
Loic Matthey
M. Botvinick
Alexander Lerchner
OCLSSL
106
510
0
01 Mar 2019
MONet: Unsupervised Scene Decomposition and Representation
MONet: Unsupervised Scene Decomposition and Representation
Christopher P. Burgess
Loic Matthey
Nicholas Watters
Rishabh Kabra
I. Higgins
M. Botvinick
Alexander Lerchner
OCL
90
531
0
22 Jan 2019
ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes
ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes
Angela Dai
Angel X. Chang
Manolis Savva
Maciej Halber
Thomas Funkhouser
Matthias Nießner
3DPC3DV
510
4,088
0
14 Feb 2017
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