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Computer Vision
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Depth Estimation
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NYU-Depth V2
Depth Estimation on NYU-Depth V2
Metric: RMS (higher is better)
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Results
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#
Model
↕
RMS
▼
Extra Data
Paper
Date
↕
Code
1
PAD-Net
0.792
No
PAD-Net: Multi-Tasks Guided Prediction-and-Disti...
2018-05-11
-
2
MS-CRF
0.586
No
Multi-Scale Continuous CRFs as Sequential Deep N...
2017-04-07
Code
3
DORN
0.509
No
Deep Ordinal Regression Network for Monocular De...
2018-06-06
Code
4
Freeform
0.433
No
Deep Optics for Monocular Depth Estimation and 3...
2019-04-18
-
5
Optimized, freeform
0.4325
No
Deep Optics for Monocular Depth Estimation and 3...
2019-04-18
-
6
VNL
0.416
No
Enforcing geometric constraints of virtual norma...
2019-07-29
Code
7
BTS
0.407
No
From Big to Small: Multi-Scale Local Planar Guid...
2019-07-24
Code
8
TransDepth (AGD+ ViT)
0.365
No
Transformer-Based Attention Networks for Continu...
2021-03-22
Code
9
AdaBins
0.364
No
AdaBins: Depth Estimation using Adaptive Bins
2020-11-28
Code
10
P3Depth
0.356
No
P3Depth: Monocular Depth Estimation with a Piece...
2022-04-05
Code
11
SwinV2-B 1K-MIM
0.304
No
Revealing the Dark Secrets of Masked Image Model...
2022-05-26
Code
12
Semantic-aware NN
0.3
No
3D Ken Burns Effect from a Single Image
2019-09-12
Code
13
SwinV2-L 1K-MIM
0.287
No
Revealing the Dark Secrets of Masked Image Model...
2022-05-26
Code
14
DINOv2 (ViT-g/14 frozen, w/ DPT decoder)
0.279
Yes
DINOv2: Learning Robust Visual Features without ...
2023-04-14
Code
15
EVP
0.224
No
EVP: Enhanced Visual Perception using Inverse Mu...
2023-12-13
Code