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	Score
Depth-aware Test-Time Training for Zero-shot Video Object Segmentation	Mar 7, 2024	Depth EstimationDepth Prediction	CodeCode Available	1	5
Depth-aware Volume Attention for Texture-less Stereo Matching	Feb 14, 2024	Depth EstimationStereo Matching	CodeCode Available	1	5
Attention Attention Everywhere: Monocular Depth Prediction with Skip Attention	Oct 17, 2022	DecoderDepth Estimation	CodeCode Available	1	5
Disentangling Object Motion and Occlusion for Unsupervised Multi-frame Monocular Depth	Mar 29, 2022	Depth EstimationDepth Prediction	CodeCode Available	1	5
Depth Estimation from Monocular Images and Sparse Radar Data	Sep 30, 2020	Depth Estimation	CodeCode Available	1	5
Depth-Aware Endoscopic Video Inpainting	Jul 2, 2024	Depth EstimationVideo Inpainting	CodeCode Available	1	5
Joint Learning of Salient Object Detection, Depth Estimation and Contour Extraction	Mar 9, 2022	Depth Estimationobject-detection	CodeCode Available	1	5
JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving Scenes	Jul 16, 2022	Autonomous DrivingDepth Estimation	CodeCode Available	1	5
Cost Volume Pyramid Network with Multi-strategies Range Searching for Multi-view Stereo	Jul 25, 2022	3D ReconstructionDepth Estimation	CodeCode Available	1	5
A benchmark with decomposed distribution shifts for 360 monocular depth estimation	Dec 1, 2021	Depth EstimationMonocular Depth Estimation	CodeCode Available	1	5
Attention-based View Selection Networks for Light-field Disparity Estimation	Feb 7, 2020	Depth EstimationDisparity Estimation	CodeCode Available	1	5
Crafting Monocular Cues and Velocity Guidance for Self-Supervised Multi-Frame Depth Learning	Aug 19, 2022	Depth Estimation	CodeCode Available	1	5
360 Depth Estimation in the Wild -- The Depth360 Dataset and the SegFuse Network	Feb 16, 2022	Autonomous DrivingDepth Estimation	CodeCode Available	1	5
LaRa: Latents and Rays for Multi-Camera Bird's-Eye-View Semantic Segmentation	Jun 27, 2022	Autonomous DrivingBird's-Eye View Semantic Segmentation	CodeCode Available	1	5
Depth Completion using Geometry-Aware Embedding	Mar 21, 2022	Depth CompletionDepth Estimation	CodeCode Available	1	5
Guiding Monocular Depth Estimation Using Depth-Attention Volume	Apr 6, 2020	Depth EstimationMonocular Depth Estimation	CodeCode Available	1	5
Aberration-Aware Depth-from-Focus	Mar 8, 2023	Depth Estimation	CodeCode Available	1	5
HDNet: Human Depth Estimation for Multi-Person Camera-Space Localization	Jul 17, 2020	3D Multi-Person Pose Estimation (absolute)3D Multi-Person Pose Estimation (root-relative)	CodeCode Available	1	5
CrossDTR: Cross-view and Depth-guided Transformers for 3D Object Detection	Sep 27, 2022	3D Object DetectionAutonomous Driving	CodeCode Available	1	5
HR-Depth: High Resolution Self-Supervised Monocular Depth Estimation	Dec 14, 2020	Depth EstimationMonocular Depth Estimation	CodeCode Available	1	5
Cross-modal transformers for infrared and visible image fusion	Jun 26, 2023	Cross-Modal RetrievalDepth Estimation	CodeCode Available	1	5
A-TVSNet: Aggregated Two-View Stereo Network for Multi-View Stereo Depth Estimation	Mar 2, 2020	Depth EstimationStereo Depth Estimation	CodeCode Available	1	5
Depth Any Canopy: Leveraging Depth Foundation Models for Canopy Height Estimation	Aug 8, 2024	Depth EstimationMonocular Depth Estimation	CodeCode Available	1	5
AudioEar: Single-View Ear Reconstruction for Personalized Spatial Audio	Jan 30, 2023	Depth Estimation	CodeCode Available	1	5
Chitransformer: Towards Reliable Stereo From Cues	Jan 1, 2022	Depth EstimationMonocular Depth 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