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Improving Novel view synthesis of 360$^\circ$ Scenes in Extremely Sparse Views by Jointly Training Hemisphere Sampled Synthetic Images

Improving Novel view synthesis of 360∘^\circ∘ Scenes in Extremely Sparse Views by Jointly Training Hemisphere Sampled Synthetic Images

25 May 2025
Guangan Chen
A. Truong
Hanhe Lin
M. Vlaminck
Wilfried Philips
H. Luong
    3DGS
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Papers citing "Improving Novel view synthesis of 360$^\circ$ Scenes in Extremely Sparse Views by Jointly Training Hemisphere Sampled Synthetic Images"

6 / 6 papers shown
Title
RGBD Objects in the Wild: Scaling Real-World 3D Object Learning from
  RGB-D Videos
RGBD Objects in the Wild: Scaling Real-World 3D Object Learning from RGB-D Videos
Hongchi Xia
Yang Fu
Sifei Liu
Xiaolong Wang
38
17
0
23 Jan 2024
MVImgNet: A Large-scale Dataset of Multi-view Images
MVImgNet: A Large-scale Dataset of Multi-view Images
Xianggang Yu
Mutian Xu
Yidan Zhang
Haolin Liu
Chongjie Ye
...
Zhangyang Xiong
Tianyou Liang
Guanying Chen
Shuguang Cui
Xiaoguang Han
3DV
79
162
0
10 Mar 2023
Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields
Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields
Jonathan T. Barron
B. Mildenhall
Dor Verbin
Pratul P. Srinivasan
Peter Hedman
94
1,659
0
23 Nov 2021
The Contextual Loss for Image Transformation with Non-Aligned Data
The Contextual Loss for Image Transformation with Non-Aligned Data
Roey Mechrez
Itamar Talmi
Lihi Zelnik-Manor
135
388
0
06 Mar 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
Eli Shechtman
Oliver Wang
EGVM
157
11,610
0
11 Jan 2018
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
429
99,991
0
04 Sep 2014
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