Depth Estimation

Depth Estimation is the task of measuring the distance of each pixel relative to the camera. Depth is extracted from either monocular (single) or stereo (multiple views of a scene) images. Traditional methods use multi-view geometry to find the relationship between the images. Newer methods can directly estimate depth by minimizing the regression loss, or by learning to generate a novel view from a sequence. The most popular benchmarks are KITTI and NYUv2. Models are typically evaluated according to a RMS metric.

Source: DIODE: A Dense Indoor and Outdoor DEpth Dataset

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 401–425 of 2454 papers

Title	Date	Tasks	Status	Hype	Score
Monocular Depth Prediction through Continuous 3D Loss	Mar 21, 2020	Depth EstimationDepth Prediction	CodeCode Available	1	5
Channel-Wise Attention-Based Network for Self-Supervised Monocular Depth Estimation	Dec 24, 2021	Depth EstimationDepth Prediction	CodeCode Available	1	5
JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving Scenes	Jul 16, 2022	Autonomous DrivingDepth Estimation	CodeCode Available	1	5
Fast-MVSNet: Sparse-to-Dense Multi-View Stereo With Learned Propagation and Gauss-Newton Refinement	Mar 29, 2020	Depth Estimation	CodeCode Available	1	5
FDCT: Fast Depth Completion for Transparent Objects	Jul 23, 2023	Autonomous DrivingDepth Completion	CodeCode Available	1	5
MonoDiffusion: Self-Supervised Monocular Depth Estimation Using Diffusion Model	Nov 13, 2023	DenoisingDepth Estimation	CodeCode Available	1	5
Deconstructing Self-Supervised Monocular Reconstruction: The Design Decisions that Matter	Aug 2, 2022	Depth EstimationMonocular Depth Estimation	CodeCode Available	1	5
Channel-Aware Distillation Transformer for Depth Estimation on Nano Drones	Mar 18, 2023	Autonomous NavigationDepth Estimation	CodeCode Available	1	5
Is Pseudo-Lidar needed for Monocular 3D Object detection?	Aug 13, 2021	3D Object DetectionDepth Estimation	CodeCode Available	1	5
DEPTHOR: Depth Enhancement from a Practical Light-Weight dToF Sensor and RGB Image	Apr 2, 2025	Depth CompletionDepth Estimation	CodeCode Available	1	5
BadPart: Unified Black-box Adversarial Patch Attacks against Pixel-wise Regression Tasks	Apr 1, 2024	Adversarial RobustnessAutonomous Driving	CodeCode Available	1	5
Finite Scalar Quantization: VQ-VAE Made Simple	Sep 27, 2023	ColorizationDepth Estimation	CodeCode Available	1	5
A geometry-aware deep network for depth estimation in monocular endoscopy	Apr 20, 2023	3D ReconstructionAnatomy	CodeCode Available	1	5
Deep Color Mismatch Correction In Stereoscopic 3D Images	Jun 1, 2021	Color Mismatch CorrectionDepth Estimation	CodeCode Available	1	5
Joint Learning of Salient Object Detection, Depth Estimation and Contour Extraction	Mar 9, 2022	Depth Estimationobject-detection	CodeCode Available	1	5
Kick Back & Relax: Learning to Reconstruct the World by Watching SlowTV	Jul 20, 2023	Depth EstimationDiversity	CodeCode Available	1	5
BaseBoostDepth: Exploiting Larger Baselines For Self-supervised Monocular Depth Estimation	Jul 29, 2024	Depth EstimationMonocular Depth Estimation	CodeCode Available	1	5
FlipNeRF: Flipped Reflection Rays for Few-shot Novel View Synthesis	Jun 30, 2023	3D geometryDepth Estimation	CodeCode Available	1	5
BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks	Jul 14, 2022	Autonomous DrivingDeblurring	CodeCode Available	1	5
Deep Depth Estimation from Thermal Image: Dataset, Benchmark, and Challenges	Mar 28, 2025	Depth EstimationStereo Depth Estimation	CodeCode Available	1	5
Deep Depth Estimation from Visual-Inertial SLAM	Jul 31, 2020	Depth EstimationSimultaneous Localization and Mapping	CodeCode Available	1	5
FLSea: Underwater Visual-Inertial and Stereo-Vision Forward-Looking Datasets	Feb 24, 2023	3D ReconstructionDepth Estimation	CodeCode Available	1	5
CDGS: Confidence-Aware Depth Regularization for 3D Gaussian Splatting	Feb 20, 2025	3DGS3D Reconstruction	CodeCode Available	1	5
FreDSNet: Joint Monocular Depth and Semantic Segmentation with Fast Fourier Convolutions	Oct 4, 2022	Depth EstimationMonocular Depth Estimation	CodeCode Available	1	5
Digging into contrastive learning for robust depth estimation with diffusion models	Apr 15, 2024	Contrastive LearningDenoising	CodeCode Available	1	5

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All datasets Stanford2D3D Panoramic NYU-Depth V2 DCM eBDtheque ScanNetV2 Cityscapes test DIODE KITTI 2015 Mars DTM Estimation ScanNet 4D Light Field Dataset KITTI Eigen split

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	OmniDepth	RMSE	0.62	—	Unverified
2	SphereDepth	RMSE	0.45	—	Unverified
3	Jin et al.	RMSE	0.42	—	Unverified
4	BiFuse with fusion	RMSE	0.41	—	Unverified
5	HoHoNet (ResNet-101)	RMSE	0.38	—	Unverified
6	PanoDepth	RMSE	0.37	—	Unverified
7	BiFuse++	RMSE	0.37	—	Unverified
8	UniFuse with fusion	RMSE	0.37	—	Unverified
9	DisConv	RMSE	0.37	—	Unverified
10	SliceNet	RMSE	0.37	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	A2J	mAP	8.61	—	Unverified
2	PAD-Net	RMS	0.79	—	Unverified
3	MS-CRF	RMS	0.59	—	Unverified
4	DORN	RMS	0.51	—	Unverified
5	Freeform	RMS	0.43	—	Unverified
6	Optimized, freeform	RMS	0.43	—	Unverified
7	VNL	RMS	0.42	—	Unverified
8	BTS	RMS	0.41	—	Unverified
9	TransDepth (AGD+ ViT)	RMS	0.37	—	Unverified
10	AdaBins	RMS	0.36	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	T2Net	Abs Rel	0.35	—	Unverified
2	MIDAS	Abs Rel	0.31	—	Unverified
3	Bhattacharjee et al.	Abs Rel	0.25	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	T2Net	Abs Rel	0.49	—	Unverified
2	MIDAS	Abs Rel	0.42	—	Unverified
3	Bhattacharjee et al.	Abs Rel	0.38	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LeReS	absolute relative error	0.1	—	Unverified
2	DELTAS	absolute relative error	0.09	—	Unverified
3	Distill Any Depth	absolute relative error	0.04	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SDC-Depth	RMSE	6.92	—	Unverified
2	SwinMTL	RMSE	6.35	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	AIP-Brown	Delta < 1.25	0.36	—	Unverified
2	LeRes	Delta < 1.25	0.23	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	H-Net (Ours)	Absolute relative error (AbsRel)	0.09	—	Unverified
2	H-Net (Ours) Full Eigen	Absolute relative error (AbsRel)	0.08	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GLPDepth	Delta < 1.25	0.43	—	Unverified
2	SRDINET (Model A)	Delta < 1.25	0.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Atlas (finetuned)	RMSE	0.17	—	Unverified
2	Atlas (plain)	RMSE	0.17	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LFattNet	BadPix(0.01)	17.23	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LightDepth	Number of parameters (M)	42.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	UniFuse	Abs Rel	0.11	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	X-TC (Cross-Task Consistency)	L1 error	1.63	—	Unverified