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 951–975 of 2454 papers

Title	Date	Tasks	Status	Score
Monocular Depth Estimation using Multi-Scale Continuous CRFs as Sequential Deep Networks	Mar 1, 2018	Depth EstimationMonocular Depth Estimation	CodeCode Available	5
Lightweight Monocular Depth Estimation Model by Joint End-to-End Filter pruning	May 13, 2019	Depth EstimationMonocular Depth Estimation	CodeCode Available	5
Light Field Compression by Residual CNN Assisted JPEG	Sep 30, 2020	Depth EstimationSSIM	CodeCode Available	5
Adaptive LiDAR Sampling and Depth Completion using Ensemble Variance	Jul 27, 2020	Autonomous VehiclesDepth Completion	CodeCode Available	5
Light Field Depth Estimation via Stitched Epipolar Plane Images	Mar 29, 2022	Depth Estimation	CodeCode Available	5
L-MAGIC: Language Model Assisted Generation of Images with Coherence	Jun 3, 2024	Depth EstimationLanguage Modeling	CodeCode Available	5
DFR: Depth from Rotation by Uncalibrated Image Rectification with Latitudinal Motion Assumption	Jul 11, 2023	Depth Estimation	CodeCode Available	5
DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task Consistency	Sep 5, 2018	Depth And Camera MotionDepth Estimation	CodeCode Available	5
Challenges of Multi-Modal Coreset Selection for Depth Prediction	Feb 20, 2025	Depth EstimationDepth Prediction	CodeCode Available	5
Anytime Stereo Image Depth Estimation on Mobile Devices	Oct 26, 2018	Depth EstimationStereo Depth Estimation	CodeCode Available	5
3D-SiamMask: Vision-Based Multi-Rotor Aerial-Vehicle Tracking for a Moving Object	Nov 14, 2022	3D Single Object TrackingDepth Estimation	CodeCode Available	5
Detecting Adversarial Perturbations in Multi-Task Perception	Mar 2, 2022	Adversarial AttackDepth Estimation	CodeCode Available	5
Learn Stereo, Infer Mono: Siamese Networks for Self-Supervised, Monocular, Depth Estimation	May 1, 2019	Depth EstimationMonocular Depth Estimation	CodeCode Available	5
Learning to Synthesize a 4D RGBD Light Field from a Single Image	Aug 10, 2017	Depth Estimation	CodeCode Available	5
Detail-aware multi-view stereo network for depth estimation	Mar 31, 2025	Depth EstimationImage Generation	CodeCode Available	5
Learning Unsupervised Multi-View Stereopsis via Robust Photometric Consistency	May 7, 2019	3D geometryDepth Estimation	CodeCode Available	5
DERD-Net: Learning Depth from Event-based Ray Densities	Apr 22, 2025	Depth EstimationDepth Prediction	CodeCode Available	5
Learning to Adapt for Stereo	Apr 5, 2019	Autonomous DrivingDepth Estimation	CodeCode Available	5
Learning to Navigate in Complex Environments	Nov 11, 2016	Depth EstimationDepth Prediction	CodeCode Available	5
Depth self-supervision for single image novel view synthesis	Aug 27, 2023	DecoderDepth Estimation	CodeCode Available	5
Learning Non-Volumetric Depth Fusion Using Successive Reprojections	Jun 1, 2019	3D ReconstructionDepth Estimation	CodeCode Available	5
Learning Single Camera Depth Estimation using Dual-Pixels	Apr 11, 2019	Depth EstimationMonocular Depth Estimation	CodeCode Available	5
Leveraging 6DoF Pose Foundation Models For Mapping Marine Sediment Burial	Jun 12, 2025	Depth Estimation	CodeCode Available	5
Long-Tailed 3D Detection via Multi-Modal Fusion	Dec 18, 2023	3D Object DetectionAutonomous Vehicles	CodeCode Available	5
SharpNet: Fast and Accurate Recovery of Occluding Contours in Monocular Depth Estimation	May 21, 2019	Depth EstimationDepth Prediction	CodeCode Available	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