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Re-Nerfing: Improving Novel Views Synthesis through Novel Views
  Synthesis

Re-Nerfing: Improving Novel Views Synthesis through Novel Views Synthesis

4 December 2023
Felix Tristram
Stefano Gasperini
Nassir Navab
Federico Tombari
ArXivPDFHTML

Papers citing "Re-Nerfing: Improving Novel Views Synthesis through Novel Views Synthesis"

4 / 4 papers shown
Title
NeRFmentation: NeRF-based Augmentation for Monocular Depth Estimation
NeRFmentation: NeRF-based Augmentation for Monocular Depth Estimation
Casimir Feldmann
Niall Siegenheim
Nikolas Hars
Lovro Rabuzin
Mert Ertugrul
Luca Wolfart
Marc Pollefeys
Z. Bauer
Martin R. Oswald
14
4
0
08 Jan 2024
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
Mix3D: Out-of-Context Data Augmentation for 3D Scenes
Mix3D: Out-of-Context Data Augmentation for 3D Scenes
Alexey Nekrasov
Jonas Schult
Or Litany
Bastian Leibe
Francis Engelmann
3DPC
142
154
0
05 Oct 2021
Simple Copy-Paste is a Strong Data Augmentation Method for Instance
  Segmentation
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation
Golnaz Ghiasi
Yin Cui
A. Srinivas
Rui Qian
Tsung-Yi Lin
E. D. Cubuk
Quoc V. Le
Barret Zoph
ISeg
223
962
0
13 Dec 2020
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