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SotA/Computer Vision/Depth Estimation/NYU-Depth V2

Depth Estimation on NYU-Depth V2

Metric: RMS (higher is better)

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#Model↕RMS▼Extra DataPaperDate↕Code
1PAD-Net0.792NoPAD-Net: Multi-Tasks Guided Prediction-and-Disti...2018-05-11-
2MS-CRF0.586NoMulti-Scale Continuous CRFs as Sequential Deep N...2017-04-07Code
3DORN0.509NoDeep Ordinal Regression Network for Monocular De...2018-06-06Code
4Freeform0.433NoDeep Optics for Monocular Depth Estimation and 3...2019-04-18-
5Optimized, freeform0.4325NoDeep Optics for Monocular Depth Estimation and 3...2019-04-18-
6VNL0.416NoEnforcing geometric constraints of virtual norma...2019-07-29Code
7BTS0.407NoFrom Big to Small: Multi-Scale Local Planar Guid...2019-07-24Code
8TransDepth (AGD+ ViT)0.365NoTransformer-Based Attention Networks for Continu...2021-03-22Code
9AdaBins0.364NoAdaBins: Depth Estimation using Adaptive Bins2020-11-28Code
10P3Depth0.356NoP3Depth: Monocular Depth Estimation with a Piece...2022-04-05Code
11SwinV2-B 1K-MIM0.304NoRevealing the Dark Secrets of Masked Image Model...2022-05-26Code
12Semantic-aware NN0.3No3D Ken Burns Effect from a Single Image2019-09-12Code
13SwinV2-L 1K-MIM0.287NoRevealing the Dark Secrets of Masked Image Model...2022-05-26Code
14DINOv2 (ViT-g/14 frozen, w/ DPT decoder)0.279YesDINOv2: Learning Robust Visual Features without ...2023-04-14Code
15EVP0.224NoEVP: Enhanced Visual Perception using Inverse Mu...2023-12-13Code