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NeRFmentation: NeRF-based Augmentation for Monocular Depth Estimation

NeRFmentation: NeRF-based Augmentation for Monocular Depth Estimation

8 January 2024
Casimir Feldmann
Niall Siegenheim
Nikolas Hars
Lovro Rabuzin
Mert Ertugrul
Luca Wolfart
Marc Pollefeys
Z. Bauer
Martin R. Oswald
ArXivPDFHTML

Papers citing "NeRFmentation: NeRF-based Augmentation for Monocular Depth Estimation"

5 / 5 papers shown
Title
High-Resolution Synthetic RGB-D Datasets for Monocular Depth Estimation
High-Resolution Synthetic RGB-D Datasets for Monocular Depth Estimation
Aakash Rajpal
N. Cheema
K. Illgner-Fehns
P. Slusallek
S. Jaiswal
MDE
3DV
29
12
0
02 May 2023
Label-Efficient Semantic Segmentation with Diffusion Models
Label-Efficient Semantic Segmentation with Diffusion Models
Dmitry Baranchuk
Ivan Rubachev
A. Voynov
Valentin Khrulkov
Artem Babenko
DiffM
VLM
195
508
0
06 Dec 2021
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information
  Retrieval Models
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models
Nandan Thakur
Nils Reimers
Andreas Rucklé
Abhishek Srivastava
Iryna Gurevych
VLM
229
961
0
17 Apr 2021
Deep Ordinal Regression Network for Monocular Depth Estimation
Deep Ordinal Regression Network for Monocular Depth Estimation
Huan Fu
Mingming Gong
Chaohui Wang
Kayhan Batmanghelich
Dacheng Tao
MDE
180
1,687
0
06 Jun 2018
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
229
74,467
0
18 May 2015
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