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 201–225 of 2454 papers

Title	Date	Tasks	Status	Hype	Score
Deep Color Mismatch Correction In Stereoscopic 3D Images	Jun 1, 2021	Color Mismatch CorrectionDepth Estimation	CodeCode Available	1	5
DCDepth: Progressive Monocular Depth Estimation in Discrete Cosine Domain	Oct 19, 2024	Depth EstimationMonocular Depth Estimation	CodeCode Available	1	5
DARES: Depth Anything in Robotic Endoscopic Surgery with Self-supervised Vector-LoRA of the Foundation Model	Aug 30, 2024	3D ReconstructionDepth Estimation	CodeCode Available	1	5
DAG: Depth-Aware Guidance with Denoising Diffusion Probabilistic Models	Dec 17, 2022	DenoisingDepth 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
A geometry-aware deep network for depth estimation in monocular endoscopy	Apr 20, 2023	3D ReconstructionAnatomy	CodeCode Available	1	5
DaRF: Boosting Radiance Fields from Sparse Inputs with Monocular Depth Adaptation	May 30, 2023	3D geometryDepth 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
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 From Focus	Apr 4, 2017	Depth Estimation	CodeCode Available	1	5
Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields	Sep 6, 2023	Depth EstimationNeRF	CodeCode Available	1	5
Dusk Till Dawn: Self-supervised Nighttime Stereo Depth Estimation using Visual Foundation Models	May 18, 2024	Depth EstimationStereo Depth Estimation	CodeCode Available	1	5
A Hybrid Sparse-Dense Monocular SLAM System for Autonomous Driving	Aug 17, 2021	Autonomous DrivingDepth Estimation	CodeCode Available	1	5
Cylin-Painting: Seamless 360 Panoramic Image Outpainting and Beyond	Apr 18, 2022	Depth EstimationImage Outpainting	CodeCode Available	1	5
AI Playground: Unreal Engine-based Data Ablation Tool for Deep Learning	Jul 13, 2020	Data AblationDepth Estimation	CodeCode Available	1	5
Deep Ordinal Regression Network for Monocular Depth Estimation	Jun 6, 2018	Depth EstimationMonocular Depth Estimation	CodeCode Available	1	5
Edge-aware Bidirectional Diffusion for Dense Depth Estimation from Light Fields	Jul 7, 2021	Depth Estimation	CodeCode Available	1	5
DS-Depth: Dynamic and Static Depth Estimation via a Fusion Cost Volume	Aug 14, 2023	Depth EstimationMonocular Depth Estimation	CodeCode Available	1	5
BEVDistill: Cross-Modal BEV Distillation for Multi-View 3D Object Detection	Nov 17, 2022	3D Object DetectionDepth Estimation	CodeCode Available	1	5
BEV-LGKD: A Unified LiDAR-Guided Knowledge Distillation Framework for BEV 3D Object Detection	Dec 1, 2022	3D Object DetectionAutonomous Driving	CodeCode Available	1	5
BEVNeXt: Reviving Dense BEV Frameworks for 3D Object Detection	Dec 4, 2023	3D Object DetectionDecoder	CodeCode Available	1	5
2.5D Visual Relationship Detection	Apr 26, 2021	BenchmarkingDepth Estimation	CodeCode Available	1	5
DeepVideoMVS: Multi-View Stereo on Video with Recurrent Spatio-Temporal Fusion	Dec 3, 2020	DecoderDepth Estimation	CodeCode Available	1	5
CutDepth:Edge-aware Data Augmentation in Depth Estimation	Jul 16, 2021	Data AugmentationDepth Estimation	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