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 2301–2325 of 2454 papers

Title	Date	Tasks	Status
Monocular Depth Estimation using Multi-Scale Continuous CRFs as Sequential Deep Networks	Mar 1, 2018	Depth EstimationMonocular Depth Estimation	CodeCode Available
Monocular Depth Estimation Using Cues Inspired by Biological Vision Systems	Apr 21, 2022	Depth EstimationDepth Prediction	CodeCode Available
An Online Adaptation Method for Robust Depth Estimation and Visual Odometry in the Open World	Apr 16, 2025	Depth EstimationMonocular Depth Estimation	CodeCode Available
Estimating Depth from RGB and Sparse Sensing	Apr 8, 2018	Depth EstimationMonocular Depth Estimation	CodeCode Available
SceneNet RGB-D: 5M Photorealistic Images of Synthetic Indoor Trajectories with Ground Truth	Dec 15, 2016	3D ReconstructionCamera Pose Estimation	CodeCode Available
Monocular Depth Decomposition of Semi-Transparent Volume Renderings	Jun 27, 2022	Depth EstimationMonocular Depth Estimation	CodeCode Available
Estimated Depth Map Helps Image Classification	Sep 20, 2017	ClassificationDepth Estimation	CodeCode Available
Monocular 3D Object Detection with Pseudo-LiDAR Point Cloud	Mar 23, 2019	3D Object DetectionDepth Estimation	CodeCode Available
Back to the Color: Learning Depth to Specific Color Transformation for Unsupervised Depth Estimation	Jun 11, 2024	Depth EstimationMonocular Depth Estimation	CodeCode Available
VGLD: Visually-Guided Linguistic Disambiguation for Monocular Depth Scale Recovery	May 5, 2025	Depth EstimationMonocular Depth Estimation	CodeCode Available
SDGOCC: Semantic and Depth-Guided Bird's-Eye View Transformation for 3D Multimodal Occupancy Prediction	Jan 1, 2025	Autonomous DrivingDepth Estimation	CodeCode Available
Adaptive LiDAR Sampling and Depth Completion using Ensemble Variance	Jul 27, 2020	Autonomous VehiclesDepth Completion	CodeCode Available
D^3epth: Self-Supervised Depth Estimation with Dynamic Mask in Dynamic Scenes	Nov 7, 2024	Depth EstimationMonocular Depth Estimation	CodeCode Available
SweepNet: Wide-baseline Omnidirectional Depth Estimation	Feb 28, 2019	Depth Estimation	CodeCode Available
Sea-ing in Low-light	Jan 1, 2025	Depth EstimationImage Restoration	CodeCode Available
EPP-MVSNet: Epipolar-Assembling Based Depth Prediction for Multi-View Stereo	Jan 1, 2021	3D ReconstructionDepth Estimation	CodeCode Available
MGNiceNet: Unified Monocular Geometric Scene Understanding	Nov 18, 2024	Autonomous DrivingAutonomous Vehicles	CodeCode Available
EPINET: A Fully-Convolutional Neural Network Using Epipolar Geometry for Depth from Light Field Images	Apr 6, 2018	Data AugmentationDepth Estimation	CodeCode Available
Seeing Far in the Dark with Patterned Flash	Jul 25, 2022	Depth EstimationImage Reconstruction	CodeCode Available
Auxiliary Tasks in Multi-task Learning	May 16, 2018	Depth EstimationMulti-Task Learning	CodeCode Available
SeGAN: Segmenting and Generating the Invisible	Mar 29, 2017	Depth EstimationScene Understanding	CodeCode Available
Video Depth Estimation by Fusing Flow-to-Depth Proposals	Dec 30, 2019	Depth EstimationOptical Flow Estimation	CodeCode Available
SelectionConv: Convolutional Neural Networks for Non-rectilinear Image Data	Jul 18, 2022	Depth EstimationDepth Prediction	CodeCode Available
A Neural Network for Detailed Human Depth Estimation from a Single Image	Oct 3, 2019	Depth Estimation	CodeCode Available
CVCP-Fusion: On Implicit Depth Estimation for 3D Bounding Box Prediction	Oct 15, 2024	3D Object DetectionDepth Estimation	CodeCode Available

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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