monocular-depth-estimation-on-nyu-depth-v2

Depth EstimationMonocular Depth Estimation

Results over time

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Leaderboard

Paper	Code	absolute relative error	RMSE	log 10	Delta < 1.25	Delta < 1.25^2	Delta < 1.25^3	ModelName	ReleaseDate
HybridDepth: Robust Metric Depth Fusion by Leveraging Depth from Focus and Single-Image Priors	✓ Link	0.026	0.128		0.988	1.000	1.000	HybridDepth	2024-07-26
Distill Any Depth: Distillation Creates a Stronger Monocular Depth Estimator	✓ Link	0.043			0.981			Distill Any Depth	2025-02-26
UniK3D: Universal Camera Monocular 3D Estimation	✓ Link	0.044	0.173	0.019	0.989	0.998	1.000	UniK3D (FT, metric)	2025-03-20
UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler	✓ Link	0.046	0.180	0.020	0.988	0.998	1.000	UniDepthV2 (FT, metric)	2025-02-27
PrimeDepth: Efficient Monocular Depth Estimation with a Stable Diffusion Preimage	✓ Link	0.046			0.977			PrimeDepth + Depth Anything	2024-09-13
Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal Estimation	✓ Link	0.047	0.183	0.020	0.989	0.998	1.000	Metric3Dv2(L, FT)	2024-03-22
DepthMaster: Taming Diffusion Models for Monocular Depth Estimation	✓ Link	0.050			0.972			DepthMaster	2025-01-05
GRIN: Zero-Shot Metric Depth with Pixel-Level Diffusion		0.051	0.251					GRIN	2024-09-15
Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think	✓ Link	0.052			0.966			Marigold + E2E FT(zero-shot)	2024-09-17
Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation	✓ Link	0.055	0.224	0.024	0.964	0.991	0.998	Marigold	2023-12-04
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data	✓ Link	0.056	0.206	0.024	0.984	0.998	1.000	Depth Anything	2024-01-19
UniDepth: Universal Monocular Metric Depth Estimation	✓ Link	0.058	0.201	0.024	0.984	0.997	0.999	UniDepth (Zero-shot)	2024-03-27
PrimeDepth: Efficient Monocular Depth Estimation with a Stable Diffusion Preimage	✓ Link	0.058			0.966			PrimeDepth	2024-09-13
ECoDepth: Effective Conditioning of Diffusion Models for Monocular Depth Estimation	✓ Link	0.059	0.218	0.026	0.978	0.997	0.999	ECoDepth	2024-03-27
Harnessing Diffusion Models for Visual Perception with Meta Prompts	✓ Link	0.061	0.223	0.027	0.976	0.997	0.999	MetaPrompt-SD	2023-12-22
EVP: Enhanced Visual Perception using Inverse Multi-Attentive Feature Refinement and Regularized Image-Text Alignment	✓ Link	0.061	0.224	0.027	0.976	0.997	0.999	EVP	2023-12-13
Text-image Alignment for Diffusion-based Perception	✓ Link	0.062	0.225	0.027	0.976	0.997	0.999	TADP	2023-09-29
FutureDepth: Learning to Predict the Future Improves Video Depth Estimation		0.063	0.233	0.027	0.981	0.996	0.999	FutureDepth	2024-03-19
MeSa: Masked, Geometric, and Supervised Pre-training for Monocular Depth Estimation		0.066	0.238	0.029	0.964	0.995	0.999	MeSa	2023-10-06
PolyMaX: General Dense Prediction with Mask Transformer	✓ Link	0.067	0.25	0.029	0.969	0.9958	0.999	PolyMaX(ConvNeXt-L)	2023-11-09
Unleashing Text-to-Image Diffusion Models for Visual Perception	✓ Link	0.069	0.254	0.030	0.964	0.995	0.999	VPD	2023-03-03
NVDS+: Towards Efficient and Versatile Neural Stabilizer for Video Depth Estimation	✓ Link	0.072	0.282	0.031	0.9493	0.991	0.997	NVDS(DPT-L)	2023-07-17
Zero-Shot Metric Depth with a Field-of-View Conditioned Diffusion Model		0.072	0.296	0.031	0.953	0.989	0.996	DMD	2023-12-20
ScaleDepth: Decomposing Metric Depth Estimation into Scale Prediction and Relative Depth Estimation	✓ Link	0.074	0.267	0.032	0.957	0.994	0.999	ScaleDepth-N	2024-07-11
Monocular Depth Estimation using Diffusion Models		0.074	0.314	0.032	0.946	0.987	0.996	DepthGen	2023-02-28
ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth	✓ Link	0.075	0.270	0.032	0.955	0.995	0.999	ZoeD-M12-N	2023-02-23
All in Tokens: Unifying Output Space of Visual Tasks via Soft Token	✓ Link	0.076	0.275	0.033	0.954	0.994	0.999	AiT-P(SwinV2-L)	2023-01-05
Large-scale Monocular Depth Estimation in the Wild		0.080	0.364	0.033	0.931	0.986	0.996	Gaming for Depth (GfD)	2023-09-18
Revealing the Dark Secrets of Masked Image Modeling	✓ Link	0.083	0.287	0.035	0.949	0.994	0.999	SwinV2-L 1K-MIM	2022-05-26
Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image	✓ Link	0.083	0.310	0.035	0.944	0.986	0.995	Metric3D (ConvNeXt-Large, Zero-shot testing)	2023-07-20
VA-DepthNet: A Variational Approach to Single Image Depth Prediction	✓ Link	0.086	0.304	0.037	0.937	0.992	0.999	VA-DepthNet(SwinV1-L)	2023-02-13
iDisc: Internal Discretization for Monocular Depth Estimation	✓ Link	0.086				0.993	0.999	iDisc	2023-04-13
Analysis of NaN Divergence in Training Monocular Depth Estimation Model		0.0864	0.3046	0.0365	0.9361	0.9916	0.9981	MIM-Swin-V2	2023-11-07
NDDepth: Normal-Distance Assisted Monocular Depth Estimation	✓ Link	0.087	0.311	0.038	0.936	0.991	0.998	NDDepth	2023-09-19
IEBins: Iterative Elastic Bins for Monocular Depth Estimation	✓ Link	0.087	0.314	0.038	0.936	0.992	0.998	IEBins	2023-09-25
URCDC-Depth: Uncertainty Rectified Cross-Distillation with CutFlip for Monocular Depth Estimation	✓ Link	0.088	0.316	0.038	0.933	0.992	0.998	URCDC-Depth	2023-02-16
Improving Deep Regression with Ordinal Entropy	✓ Link	0.089	0.321	0.039	0.932			OrdinalEntropy	2023-01-21
Attention Attention Everywhere: Monocular Depth Prediction with Skip Attention	✓ Link	0.090	0.322	0.039	0.929	0.991	0.998	PixelFormer	2022-10-17
Learning to Recover 3D Scene Shape from a Single Image	✓ Link	0.09			0.916			LeReS	2020-12-17
DINOv2: Learning Robust Visual Features without Supervision	✓ Link	0.0907	0.279	0.0371	0.9497	0.996	0.9994	DINOv2 (ViT-g/14 frozen, w/ DPT decoder)	2023-04-14
DDP: Diffusion Model for Dense Visual Prediction	✓ Link	0.094	0.329	0.040	0.921	0.990	0.998	DDP (step3)	2023-03-30
BinsFormer: Revisiting Adaptive Bins for Monocular Depth Estimation	✓ Link	0.094	0.330	0.040	0.925	0.989	0.997	BinsFormer	2022-04-03
NeW CRFs: Neural Window Fully-connected CRFs for Monocular Depth Estimation	✓ Link	0.095	0.334	0.041	0.922	0.992	0.998	NeWCRFs	2022-03-03
D-Net: A Generalised and Optimised Deep Network for Monocular Depth Estimation	✓ Link	0.095	0.354	0.041	0.919	0.988	0.997	D-Net	2021-09-29
DepthFormer: Exploiting Long-Range Correlation and Local Information for Accurate Monocular Depth Estimation	✓ Link	0.096	0.339	0.041	0.921	0.989	0.998	DepthFormer	2022-03-27
Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth	✓ Link	0.098	0.344	0.042	0.915	0.988	0.997	GLPDepth	2022-01-19
LocalBins: Improving Depth Estimation by Learning Local Distributions	✓ Link	0.098	0.351	0.042	0.91	0.986	0.997	LocalBins	2022-03-28
Depth Map Decomposition for Monocular Depth Estimation	✓ Link	0.098	0.355	0.042	0.913	0.987	0.998	Depth-Map-Decomposition-HRWSI	2022-08-23
Depthformer : Multiscale Vision Transformer For Monocular Depth Estimation With Local Global Information Fusion	✓ Link	0.100	0.345	0.042	0.913	0.988	0.997	Depthformer	2022-07-10
Depth Map Decomposition for Monocular Depth Estimation	✓ Link	0.100	0.362	0.043	0.907	0.986	0.997	Depth-Map-Decomposition	2022-08-23
IronDepth: Iterative Refinement of Single-View Depth using Surface Normal and its Uncertainty	✓ Link	0.101	0.352	0.043	0.910	0.985	0.997	IronDepth	2022-10-07
AdaBins: Depth Estimation using Adaptive Bins	✓ Link	0.103	0.364	0.044	0.903	0.984	0.997	AdaBins	2020-11-28
P3Depth: Monocular Depth Estimation with a Piecewise Planarity Prior	✓ Link	0.104	0.356	0.043	0.898	0.981	0.996	P3Depth	2022-04-05
CutDepth:Edge-aware Data Augmentation in Depth Estimation	✓ Link	0.104	0.375	0.044	0.899	0.985	0.997	CutDepth	2021-07-16
Monocular Depth Estimation Using Laplacian Pyramid-Based Depth Residuals	✓ Link	0.105	0.384	0.045	0.895	0.983	0.996	LapDepth	2021-01-08
Vision Transformers for Dense Prediction	✓ Link	0.110	0.357	0.045	0.904	0.988	0.994	DPT-Hybrid	2021-03-24
Enforcing geometric constraints of virtual normal for depth prediction	✓ Link	0.111	0.416	0.048	0.875	0.976	0.989	VNL	2019-07-29
Focal-WNet: An Architecture Unifying Convolution and Attention for Depth Estimation	✓ Link	0.116	0.398	0.048	0.875	0.980	0.995	Focal-WNet	2022-07-18
Auto-Rectify Network for Unsupervised Indoor Depth Estimation	✓ Link	0.138	0.532	0.059	0.820	0.956		SC-DepthV2	2020-06-04
NVS-MonoDepth: Improving Monocular Depth Prediction with Novel View Synthesis			0.331					NVS-MonoDepth	2021-12-22
From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation	✓ Link		0.392				0.995	BTS	2019-07-24
On Deep Learning Techniques to Boost Monocular Depth Estimation for Autonomous Navigation			0.429					DSN	2020-10-13
High Quality Monocular Depth Estimation via Transfer Learning	✓ Link		0.465					DenseDepth	2018-12-31
Attention-based Context Aggregation Network for Monocular Depth Estimation	✓ Link		0.496					ACAN	2019-01-29
SharpNet: Fast and Accurate Recovery of Occluding Contours in Monocular Depth Estimation	✓ Link		0.496					SharpNet	2019-05-21
Pattern-Affinitive Propagation across Depth, Surface Normal and Semantic Segmentation			0.497					PAP-Depth	2019-06-08
SDC-Depth: Semantic Divide-and-Conquer Network for Monocular Depth Estimation			0.497					SDC-Depth	2020-06-01
Deep Ordinal Regression Network for Monocular Depth Estimation	✓ Link		0.509					DORN	2018-06-06
Structure-Aware Residual Pyramid Network for Monocular Depth Estimation	✓ Link		0.514					SARPN	2019-07-13
InvPT: Inverted Pyramid Multi-task Transformer for Dense Scene Understanding	✓ Link		0.5183					InvPT	2022-03-15
Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells	✓ Link		0.523					FastDenseNas-arch0	2018-10-25
Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells	✓ Link		0.525					FastDenseNas-arch2	2018-10-25
Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells	✓ Link		0.526					FastDenseNas-arch1	2018-10-25
Revisiting Single Image Depth Estimation: Toward Higher Resolution Maps with Accurate Object Boundaries	✓ Link		0.530					SENet-154	2018-03-23
Generating and Exploiting Probabilistic Monocular Depth Estimates	✓ Link		0.536					ProbMonoDepth	2019-06-13
Monocular Depth Estimation Using Relative Depth Maps			0.538					RelativeDepth	2019-06-01
Prompt Guided Transformer for Multi-Task Dense Prediction	✓ Link		0.5468					PGT (Swin-S)	2023-07-28
Index Network	✓ Link		0.565					Index Network	2019-08-11
Real-Time Joint Semantic Segmentation and Depth Estimation Using Asymmetric Annotations	✓ Link		0.565					Multi-Task Light-Weight-RefineNet	2018-09-13
Single Image Depth Estimation Trained via Depth from Defocus Cues	✓ Link		0.575					DeepLabV3+ (F10)	2020-01-14
Multi-Scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation	✓ Link		0.586					Xu et al.	2017-04-07
Prompt Guided Transformer for Multi-Task Dense Prediction	✓ Link		0.59					PGT (Swin-T)	2023-07-28
Structure-Attentioned Memory Network for Monocular Depth Estimation			0.604					SOM	2019-09-10
A Two-Streamed Network for Estimating Fine-Scaled Depth Maps from Single RGB Images			0.635					Li et al.	2016-07-04
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture	✓ Link		0.641					Eigen et al.	2014-11-18

OpenCodePapers

monocular-depth-estimation-on-nyu-depth-v2