paper-with-me

Monocular Depth Estimation 벤치마크

Monocular Depth Estimation on ETH3D

20개 결과 · ⬇ CSV · JSON

Delta < 1.25

0.0752 0.3016 0.5281 0.7545 0.981 2019-07 2026-11 MiDaS — 0.0752 (2019-07-02) MiDaS — 0.0752 (2019-07-02) LeReS — 0.0777 (2020-12-17) LeReS — 0.0777 (2020-12-17) DPT — 0.0946 (2021-03-24) DPT — 0.0946 (2021-03-24) HDN — 0.0833 (2022-10-18) HDN — 0.0833 (2022-10-18) MiDaS 3.1 — 0.867 (2023-07-26) MiDaS 3.1 — 0.867 (2023-07-26) Marigold — 0.096 (2023-12-04) Marigold — 0.096 (2023-12-04) Depth Anything — 0.882 (2024-01-19) Depth Anything — 0.882 (2024-01-19) PrimeDepth — 0.967 (2024-09-13) PrimeDepth — 0.967 (2024-09-13) DepthMaster — 0.974 (2025-01-05) DepthMaster — 0.974 (2025-01-05) Distill Any Depth — 0.981 (2025-02-26) Distill Any Depth — 0.981 (2025-02-26) MiDaS — 0.0752 (2019-07-02) LeReS — 0.0777 (2020-12-17) DPT — 0.0946 (2021-03-24) MiDaS 3.1 — 0.867 (2023-07-26) Depth Anything — 0.882 (2024-01-19) PrimeDepth — 0.967 (2024-09-13) DepthMaster — 0.974 (2025-01-05) Distill Any Depth — 0.981 (2025-02-26)
RankModel Delta < 1.25absolute relative error PaperCodeYear
1 Distill Any Depth 0.9810.054 Distill Any Depth: Distillation Creates a Stronger Monocular Depth Estimator Westlake-AGI-Lab/Distill-Any-Depth 2025
2 DepthMaster 0.9740.053 DepthMaster: Taming Diffusion Models for Monocular Depth Estimation indu1ge/DepthMaster 2025
3 PrimeDepth 0.9670.068 PrimeDepth: Efficient Monocular Depth Estimation with a Stable Diffusion Preimage vislearn/PrimeDepth 2024
4 Depth Anything 0.8820.0127 Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data LiheYoung/Depth-Anything · spacewalk01/depth-anything-tensorrt · fabio-sim/Depth-Anything-ONNX · +4 2024
5 MiDaS 3.1 0.8670.0139 MiDaS v3.1 -- A Model Zoo for Robust Monocular Relative Depth Estimation isl-org/MiDaS · intel-isl/MiDaS 2023
6 Marigold 0.09600.065 Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation prs-eth/marigold · indu1ge/DepthMaster · Magicboomliu/Accelerator-Simple-Template · +1 2023
7 DPT 0.09460.078 Vision Transformers for Dense Prediction huggingface/transformers · isl-org/MiDaS · intel-isl/MiDaS · +12 2021
8 HDN 0.08330.0121 Hierarchical Normalization for Robust Monocular Depth Estimation 2022
9 LeReS 0.07770.0171 Learning to Recover 3D Scene Shape from a Single Image aim-uofa/AdelaiDepth 2020
10 MiDaS 0.07520.0184 Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer isl-org/MiDaS · intel-isl/MiDaS · picsart-ai-research/text2video-zero · +13 2019
11 Distill Any Depth 0.9810.054 Distill Any Depth: Distillation Creates a Stronger Monocular Depth Estimator Westlake-AGI-Lab/Distill-Any-Depth 2025
12 DepthMaster 0.9740.053 DepthMaster: Taming Diffusion Models for Monocular Depth Estimation indu1ge/DepthMaster 2025
13 PrimeDepth 0.9670.068 PrimeDepth: Efficient Monocular Depth Estimation with a Stable Diffusion Preimage vislearn/PrimeDepth 2024
14 Depth Anything 0.8820.0127 Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data LiheYoung/Depth-Anything · spacewalk01/depth-anything-tensorrt · fabio-sim/Depth-Anything-ONNX · +4 2024
15 MiDaS 3.1 0.8670.0139 MiDaS v3.1 -- A Model Zoo for Robust Monocular Relative Depth Estimation isl-org/MiDaS · intel-isl/MiDaS 2023
16 Marigold 0.09600.065 Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation prs-eth/marigold · indu1ge/DepthMaster · Magicboomliu/Accelerator-Simple-Template · +1 2023
17 DPT 0.09460.078 Vision Transformers for Dense Prediction huggingface/transformers · isl-org/MiDaS · intel-isl/MiDaS · +12 2021
18 HDN 0.08330.0121 Hierarchical Normalization for Robust Monocular Depth Estimation 2022
19 LeReS 0.07770.0171 Learning to Recover 3D Scene Shape from a Single Image aim-uofa/AdelaiDepth 2020
20 MiDaS 0.07520.0184 Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer isl-org/MiDaS · intel-isl/MiDaS · picsart-ai-research/text2video-zero · +13 2019
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