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 551–575 of 2454 papers

Title	Date	Tasks	Status	Hype	Score
DS-Depth: Dynamic and Static Depth Estimation via a Fusion Cost Volume	Aug 14, 2023	Depth EstimationMonocular Depth Estimation	CodeCode Available	1	5
Multi-Label Stereo Matching for Transparent Scene Depth Estimation	May 20, 2025	Depth Estimationregression	CodeCode Available	1	5
Disparity Estimation Using a Quad-Pixel Sensor	Sep 1, 2024	Depth EstimationDisparity Estimation	CodeCode Available	1	5
Disentangling Object Motion and Occlusion for Unsupervised Multi-frame Monocular Depth	Mar 29, 2022	Depth EstimationDepth Prediction	CodeCode Available	1	5
Calibrating Panoramic Depth Estimation for Practical Localization and Mapping	Aug 27, 2023	Depth EstimationDepth Prediction	CodeCode Available	1	5
Edge-aware Bidirectional Diffusion for Dense Depth Estimation from Light Fields	Jul 7, 2021	Depth Estimation	CodeCode Available	1	5
Edge-Enabled VIO with Long-Tracked Features for High-Accuracy Low-Altitude IoT Navigation	May 10, 2025	Depth EstimationDepth Prediction	CodeCode Available	1	5
DepthLab: Real-Time 3D Interaction With Depth Maps for Mobile Augmented Reality	Oct 22, 2020	Depth And Camera MotionDepth Estimation	CodeCode Available	1	5
Automated Distance Estimation for Wildlife Camera Trapping	Feb 9, 2022	Depth EstimationMonocular Depth Estimation	CodeCode Available	1	5
Depth Map Decomposition for Monocular Depth Estimation	Aug 23, 2022	Depth EstimationMonocular Depth Estimation	CodeCode Available	1	5
Camera-based 3D Semantic Scene Completion with Sparse Guidance Network	Dec 10, 2023	3D Semantic Scene CompletionAutonomous Driving	CodeCode Available	1	5
Discrete Time Convolution for Fast Event-Based Stereo	Jan 1, 2022	Depth EstimationStereo Matching	CodeCode Available	1	5
An intelligent modular real-time vision-based system for environment perception	Mar 29, 2023	Depth EstimationLane Detection	CodeCode Available	1	5
Discrete Cosine Transform Network for Guided Depth Map Super-Resolution	Apr 14, 2021	Depth EstimationDepth Map Super-Resolution	CodeCode Available	1	5
MulT: An End-to-End Multitask Learning Transformer	May 17, 2022	DecoderDepth Estimation	CodeCode Available	1	5
Digging Into Uncertainty-based Pseudo-label for Robust Stereo Matching	Jul 31, 2023	Depth EstimationMonocular Depth Estimation	CodeCode Available	1	5
End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection	Apr 7, 2020	3D Depth Estimation3D Object Detection	CodeCode Available	1	5
MINE: Towards Continuous Depth MPI with NeRF for Novel View Synthesis	Mar 27, 2021	3D ReconstructionDepth Estimation	CodeCode Available	1	5
Brain Captioning: Decoding human brain activity into images and text	May 19, 2023	Brain DecodingDepth Estimation	CodeCode Available	1	5
EndoOmni: Zero-Shot Cross-Dataset Depth Estimation in Endoscopy by Robust Self-Learning from Noisy Labels	Sep 9, 2024	Depth EstimationSelf-Learning	CodeCode Available	1	5
Distilled Semantics for Comprehensive Scene Understanding from Videos	Mar 31, 2020	Depth EstimationKnowledge Distillation	CodeCode Available	1	5
Energy-Efficient Adaptive 3D Sensing	Jan 1, 2023	Depth EstimationStereo Depth Estimation	CodeCode Available	1	5
3D-PL: Domain Adaptive Depth Estimation with 3D-aware Pseudo-Labeling	Sep 19, 2022	Depth EstimationDomain Adaptation	CodeCode Available	1	5
Boundary-induced and scene-aggregated network for monocular depth prediction	Feb 26, 2021	Depth EstimationDepth Prediction	CodeCode Available	1	5
MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks	Mar 2, 2022	Anomaly DetectionAutonomous Driving	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