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 776–800 of 2454 papers

Title	Date	Tasks	Status	Score
P3P: Pseudo-3D Pre-training for Scaling 3D Voxel-based Masked Autoencoders	Aug 19, 2024	3D Classification3D Reconstruction	CodeCode Available	5
PhaseCam3D — Learning Phase Masks for Passive Single View Depth Estimation	May 15, 2019	Autonomous DrivingDepth Estimation	CodeCode Available	5
Planar Prior Assisted PatchMatch Multi-View Stereo	Dec 26, 2019	Depth EstimationMulti-View 3D Reconstruction	CodeCode Available	5
Exploiting temporal consistency for real-time video depth estimation	Aug 10, 2019	Depth EstimationMonocular Depth Estimation	CodeCode Available	5
On the Robustness of Language Guidance for Low-Level Vision Tasks: Findings from Depth Estimation	Apr 12, 2024	Depth EstimationMonocular Depth Estimation	CodeCode Available	5
Exploiting Depth Information for Wildlife Monitoring	Feb 10, 2021	Depth EstimationInstance Segmentation	CodeCode Available	5
Auxiliary Tasks in Multi-task Learning	May 16, 2018	Depth EstimationMulti-Task Learning	CodeCode Available	5
On the Benefit of Adversarial Training for Monocular Depth Estimation	Oct 29, 2019	Depth EstimationDepth Prediction	CodeCode Available	5
On the Importance of Stereo for Accurate Depth Estimation: An Efficient Semi-Supervised Deep Neural Network Approach	Mar 26, 2018	Autonomous VehiclesDepth Estimation	CodeCode Available	5
On Robust Cross-View Consistency in Self-Supervised Monocular Depth Estimation	Sep 19, 2022	Depth EstimationMonocular Depth Estimation	CodeCode Available	5
OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching	Aug 17, 2019	DecoderDepth Estimation	CodeCode Available	5
Absolute Human Pose Estimation with Depth Prediction Network	Apr 11, 2019	3D Human Pose EstimationDepth Estimation	CodeCode Available	5
OmniDet: Surround View Cameras based Multi-task Visual Perception Network for Autonomous Driving	Feb 15, 2021	Autonomous DrivingDepth Estimation	CodeCode Available	5
Every Pixel Counts ++: Joint Learning of Geometry and Motion with 3D Holistic Understanding	Oct 14, 2018	3D geometryDepth Estimation	CodeCode Available	5
Automatic Discovery and Geotagging of Objects from Street View Imagery	Aug 28, 2017	Autonomous NavigationDepth Estimation	CodeCode Available	5
Occlusion-aware Unsupervised Learning of Depth from 4-D Light Fields	Jun 6, 2021	Depth EstimationDepth Prediction	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
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
Normal Assisted Stereo Depth Estimation	Nov 24, 2019	Depth EstimationStereo Depth Estimation	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
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
ObjCAViT: Improving Monocular Depth Estimation Using Natural Language Models And Image-Object Cross-Attention	Nov 30, 2022	Depth EstimationImage-to-Image Translation	CodeCode Available	5
OmniDepth: Dense Depth Estimation for Indoors Spherical Panoramas	Jul 25, 2018	Depth EstimationMonocular Depth Estimation	CodeCode Available	5
Dense Depth Estimation in Monocular Endoscopy with Self-supervised Learning Methods	Feb 20, 2019	AnatomyComputed Tomography (CT)	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