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 476–500 of 2454 papers

Title	Date	Tasks	Status	Hype
Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry	Dec 15, 2021	Depth Estimation	CodeCode Available	1
Self-Supervised Monocular Depth and Ego-Motion Estimation in Endoscopy: Appearance Flow to the Rescue	Dec 15, 2021	Depth EstimationMotion Estimation	CodeCode Available	1
GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional Network	Dec 13, 2021	3D ReconstructionDepth Estimation	CodeCode Available	1
Curvature-guided dynamic scale networks for Multi-view Stereo	Dec 11, 2021	3D ReconstructionDepth Estimation	CodeCode Available	1
PolyphonicFormer: Unified Query Learning for Depth-aware Video Panoptic Segmentation	Dec 5, 2021	Depth-aware Video Panoptic SegmentationDepth Estimation	CodeCode Available	1
Toward Practical Monocular Indoor Depth Estimation	Dec 4, 2021	Depth EstimationMonocular Depth Estimation	CodeCode Available	1
Gated2Gated: Self-Supervised Depth Estimation from Gated Images	Dec 4, 2021	Depth Estimation	CodeCode Available	1
Generalized Binary Search Network for Highly-Efficient Multi-View Stereo	Dec 4, 2021	3D ReconstructionDepth Estimation	CodeCode Available	1
SGM3D: Stereo Guided Monocular 3D Object Detection	Dec 3, 2021	3D Object DetectionAutonomous Driving	CodeCode Available	1
Object-aware Monocular Depth Prediction with Instance Convolutions	Dec 2, 2021	Depth EstimationDepth Prediction	CodeCode Available	1
Efficient Neural Radiance Fields for Interactive Free-viewpoint Video	Dec 2, 2021	Depth EstimationDepth Prediction	CodeCode Available	1
A benchmark with decomposed distribution shifts for 360 monocular depth estimation	Dec 1, 2021	Depth EstimationMonocular Depth Estimation	CodeCode Available	1
3DVNet: Multi-View Depth Prediction and Volumetric Refinement	Dec 1, 2021	3D Action Recognition3D Reconstruction	CodeCode Available	1
360MonoDepth: High-Resolution 360° Monocular Depth Estimation	Nov 30, 2021	2kDepth Estimation	CodeCode Available	1
Instance-wise Occlusion and Depth Orders in Natural Scenes	Nov 29, 2021	Depth EstimationDepth Prediction	CodeCode Available	1
TriStereoNet: A Trinocular Framework for Multi-baseline Disparity Estimation	Nov 24, 2021	Depth EstimationDisparity Estimation	CodeCode Available	1
MonoPLFlowNet: Permutohedral Lattice FlowNet for Real-Scale 3D Scene FlowEstimation with Monocular Images	Nov 24, 2021	Depth EstimationScene Flow Estimation	CodeCode Available	1
SUB-Depth: Self-distillation and Uncertainty Boosting Self-supervised Monocular Depth Estimation	Nov 18, 2021	Depth EstimationImage Reconstruction	CodeCode Available	1
Absolute distance prediction based on deep learning object detection and monocular depth estimation models	Nov 2, 2021	Depth EstimationMonocular Depth Estimation	CodeCode Available	1
PlaneRecNet: Multi-Task Learning with Cross-Task Consistency for Piece-Wise Plane Detection and Reconstruction from a Single RGB Image	Oct 21, 2021	DecoderDepth Estimation	CodeCode Available	1
Self-Supervised Monocular Depth Estimation with Internal Feature Fusion	Oct 18, 2021	Depth EstimationMonocular Depth Estimation	CodeCode Available	1
DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries	Oct 13, 2021	3D Object DetectionAutonomous Driving	CodeCode Available	1
PLNet: Plane and Line Priors for Unsupervised Indoor Depth Estimation	Oct 12, 2021	Depth Estimation	CodeCode Available	1
Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D Scans	Oct 11, 2021	Depth EstimationSurface Normal Estimation	CodeCode Available	1
Stereo Hybrid Event-Frame (SHEF) Cameras for 3D Perception	Oct 11, 2021	Depth EstimationDisparity 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