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 351–375 of 2454 papers

Title	Date	Tasks	Status	Hype
A Benchmark and a Baseline for Robust Multi-view Depth Estimation	Sep 13, 2022	Depth Estimation	CodeCode Available	1
Deconstructing Self-Supervised Monocular Reconstruction: The Design Decisions that Matter	Aug 2, 2022	Depth EstimationMonocular Depth Estimation	CodeCode Available	1
Attention Attention Everywhere: Monocular Depth Prediction with Skip Attention	Oct 17, 2022	DecoderDepth Estimation	CodeCode Available	1
From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation	Jul 24, 2019	DecoderDepth Estimation	CodeCode Available	1
Bridging Spectral-wise and Multi-spectral Depth Estimation via Geometry-guided Contrastive Learning	Mar 2, 2025	Autonomous VehiclesContrastive Learning	CodeCode Available	1
G2-MonoDepth: A General Framework of Generalized Depth Inference from Monocular RGB+X Data	Oct 24, 2023	Data AugmentationDepth Completion	CodeCode Available	1
CL-MVSNet: Unsupervised Multi-View Stereo with Dual-Level Contrastive Learning	Jan 1, 2023	3D geometryContrastive Learning	CodeCode Available	1
Dual Transfer Learning for Event-based End-task Prediction via Pluggable Event to Image Translation	Sep 4, 2021	DecoderDepth Estimation	CodeCode Available	1
Cost Volume Pyramid Network with Multi-strategies Range Searching for Multi-view Stereo	Jul 25, 2022	3D ReconstructionDepth Estimation	CodeCode Available	1
A benchmark with decomposed distribution shifts for 360 monocular depth estimation	Dec 1, 2021	Depth EstimationMonocular Depth Estimation	CodeCode Available	1
Attention-based View Selection Networks for Light-field Disparity Estimation	Feb 7, 2020	Depth EstimationDisparity Estimation	CodeCode Available	1
Crafting Monocular Cues and Velocity Guidance for Self-Supervised Multi-Frame Depth Learning	Aug 19, 2022	Depth Estimation	CodeCode Available	1
DS-Depth: Dynamic and Static Depth Estimation via a Fusion Cost Volume	Aug 14, 2023	Depth EstimationMonocular Depth Estimation	CodeCode Available	1
Dual Pixel Exploration: Simultaneous Depth Estimation and Image Restoration	Dec 1, 2020	Depth EstimationImage Restoration	CodeCode Available	1
DORT: Modeling Dynamic Objects in Recurrent for Multi-Camera 3D Object Detection and Tracking	Mar 29, 2023	3D Object DetectionDepth Estimation	CodeCode Available	1
Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation	Apr 28, 2021	Depth EstimationDepth Prediction	CodeCode Available	1
Aberration-Aware Depth-from-Focus	Mar 8, 2023	Depth Estimation	CodeCode Available	1
Deep Depth Estimation from Thermal Image: Dataset, Benchmark, and Challenges	Mar 28, 2025	Depth EstimationStereo Depth Estimation	CodeCode Available	1
CrossDTR: Cross-view and Depth-guided Transformers for 3D Object Detection	Sep 27, 2022	3D Object DetectionAutonomous Driving	CodeCode Available	1
GIVT: Generative Infinite-Vocabulary Transformers	Dec 4, 2023	Conditional Image GenerationDecoder	CodeCode Available	1
Cross-modal transformers for infrared and visible image fusion	Jun 26, 2023	Cross-Modal RetrievalDepth Estimation	CodeCode Available	1
A-TVSNet: Aggregated Two-View Stereo Network for Multi-View Stereo Depth Estimation	Mar 2, 2020	Depth EstimationStereo Depth Estimation	CodeCode Available	1
DaRF: Boosting Radiance Fields from Sparse Inputs with Monocular Depth Adaptation	May 30, 2023	3D geometryDepth Estimation	CodeCode Available	1
AudioEar: Single-View Ear Reconstruction for Personalized Spatial Audio	Jan 30, 2023	Depth Estimation	CodeCode Available	1
360 Depth Estimation in the Wild -- The Depth360 Dataset and the SegFuse Network	Feb 16, 2022	Autonomous DrivingDepth Estimation	CodeCode Available	1

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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