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 801–825 of 2454 papers

Title	Date	Tasks	Status	Score
AutoColor: Learned Light Power Control for Multi-Color Holograms	May 2, 2023	Depth EstimationMonocular Depth Estimation	CodeCode Available	5
D4D: An RGBD diffusion model to boost monocular depth estimation	Mar 12, 2024	Depth EstimationMonocular Depth Estimation	CodeCode Available	5
Octave Deep Plane-Sweeping Network: Reducing Spatial Redundancy for Learning-Based Plane-Sweeping Stereo	Oct 14, 2019	Depth EstimationGPU	CodeCode Available	5
Occlusion-aware Unsupervised Learning of Depth from 4-D Light Fields	Jun 6, 2021	Depth EstimationDepth Prediction	CodeCode Available	5
D^3epth: Self-Supervised Depth Estimation with Dynamic Mask in Dynamic Scenes	Nov 7, 2024	Depth EstimationMonocular Depth Estimation	CodeCode Available	5
FA-Depth: Toward Fast and Accurate Self-supervised Monocular Depth Estimation	May 17, 2024	Depth EstimationMonocular Depth Estimation	CodeCode Available	5
OmniDepth: Dense Depth Estimation for Indoors Spherical Panoramas	Jul 25, 2018	Depth EstimationMonocular Depth Estimation	CodeCode Available	5
Pseudo RGB-D for Self-Improving Monocular SLAM and Depth Prediction	Apr 22, 2020	Depth EstimationDepth Prediction	CodeCode Available	5
NimbleD: Enhancing Self-supervised Monocular Depth Estimation with Pseudo-labels and Large-scale Video Pre-training	Aug 26, 2024	Depth EstimationMonocular Depth Estimation	CodeCode Available	5
Estimating Depth from RGB and Sparse Sensing	Apr 8, 2018	Depth EstimationMonocular Depth Estimation	CodeCode Available	5
Estimated Depth Map Helps Image Classification	Sep 20, 2017	ClassificationDepth Estimation	CodeCode Available	5
EPP-MVSNet: Epipolar-Assembling Based Depth Prediction for Multi-View Stereo	Jan 1, 2021	3D ReconstructionDepth Estimation	CodeCode Available	5
CVCP-Fusion: On Implicit Depth Estimation for 3D Bounding Box Prediction	Oct 15, 2024	3D Object DetectionDepth Estimation	CodeCode Available	5
EPINET: A Fully-Convolutional Neural Network Using Epipolar Geometry for Depth from Light Field Images	Apr 6, 2018	Data AugmentationDepth Estimation	CodeCode Available	5
Cut-and-Splat: Leveraging Gaussian Splatting for Synthetic Data Generation	Apr 11, 2025	Depth EstimationInstance Segmentation	CodeCode Available	5
Enhancing Underwater Imaging with 4-D Light Fields: Dataset and Method	Aug 30, 2024	2kDepth Estimation	CodeCode Available	5
NeSLAM: Neural Implicit Mapping and Self-Supervised Feature Tracking With Depth Completion and Denoising	Mar 29, 2024	3D ReconstructionDenoising	CodeCode Available	5
Normal Assisted Stereo Depth Estimation	Nov 24, 2019	Depth EstimationStereo Depth Estimation	CodeCode Available	5
Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks	Jan 22, 2025	DecoderDepth Estimation	CodeCode Available	5
Neighbor-Vote: Improving Monocular 3D Object Detection through Neighbor Distance Voting	Jul 6, 2021	3D Object DetectionAutonomous Driving	CodeCode Available	5
Fast Scene Understanding for Autonomous Driving	Aug 8, 2017	Autonomous DrivingDecoder	CodeCode Available	5
Precision Aquaculture: An Integrated Computer Vision and IoT Approach for Optimized Tilapia Feeding	Sep 13, 2024	Depth EstimationKeypoint Detection	CodeCode Available	5
MVDepthNet: Real-time Multiview Depth Estimation Neural Network	Jul 23, 2018	Data AugmentationDecoder	CodeCode Available	5
Adversarial Structure Matching for Structured Prediction Tasks	May 18, 2018	Depth Estimationimage-classification	CodeCode Available	5
AttEntropy: On the Generalization Ability of Supervised Semantic Segmentation Transformers to New Objects in New Domains	Dec 29, 2022	Depth EstimationObject	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