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 1476–1500 of 2454 papers

Title	Date	Tasks	Status	Hype
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
Dimensions of Motion: Monocular Prediction through Flow Subspaces	Dec 2, 2021	Depth EstimationDepth Prediction	—Unverified	0
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
FaSS-MVS -- Fast Multi-View Stereo with Surface-Aware Semi-Global Matching from UAV-borne Monocular Imagery	Dec 1, 2021	Depth Estimationglobal-optimization	—Unverified	0
360MonoDepth: High-Resolution 360° Monocular Depth Estimation	Nov 30, 2021	2kDepth Estimation	CodeCode Available	1
NeRFReN: Neural Radiance Fields with Reflections	Nov 30, 2021	Depth EstimationNeRF	—Unverified	0
Instance-wise Occlusion and Depth Orders in Natural Scenes	Nov 29, 2021	Depth EstimationDepth Prediction	CodeCode Available	1
Robust Object Detection with Multi-input Multi-output Faster R-CNN	Nov 25, 2021	Depth Estimationobject-detection	—Unverified	0
MonoPLFlowNet: Permutohedral Lattice FlowNet for Real-Scale 3D Scene FlowEstimation with Monocular Images	Nov 24, 2021	Depth EstimationScene Flow Estimation	CodeCode Available	1
SM3D: Simultaneous Monocular Mapping and 3D Detection	Nov 24, 2021	Depth EstimationPose Estimation	—Unverified	0
TriStereoNet: A Trinocular Framework for Multi-baseline Disparity Estimation	Nov 24, 2021	Depth EstimationDisparity Estimation	CodeCode Available	1
Learning Generalized Visual Odometry Using Position-Aware Optical Flow and Geometric Bundle Adjustment	Nov 22, 2021	Depth EstimationMotion Estimation	—Unverified	0
ColDE: A Depth Estimation Framework for Colonoscopy Reconstruction	Nov 19, 2021	3D ReconstructionDepth Estimation	—Unverified	0
LOLNeRF: Learn from One Look	Nov 19, 2021	Depth EstimationDepth Prediction	—Unverified	0
SUB-Depth: Self-distillation and Uncertainty Boosting Self-supervised Monocular Depth Estimation	Nov 18, 2021	Depth EstimationImage Reconstruction	CodeCode Available	1
Temporally Consistent Online Depth Estimation in Dynamic Scenes	Nov 17, 2021	Depth EstimationStereo Depth Estimation	—Unverified	0
Towards Comprehensive Monocular Depth Estimation: Multiple Heads Are Better Than One	Nov 16, 2021	3D ReconstructionDepth Estimation	—Unverified	0
Error Diagnosis of Deep Monocular Depth Estimation Models	Nov 15, 2021	Depth EstimationDepth Prediction	—Unverified	0
Residual-Guided Learning Representation for Self-Supervised Monocular Depth Estimation	Nov 8, 2021	Depth EstimationMonocular Depth Estimation	—Unverified	0
Online Mutual Adaptation of Deep Depth Prediction and Visual SLAM	Nov 7, 2021	Depth EstimationDepth Prediction	—Unverified	0
Towards Panoptic 3D Parsing for Single Image in the Wild	Nov 4, 2021	3D Reconstruction3D Shape Reconstruction	—Unverified	0
Deep-Learning-Based Single-Image Height Reconstruction from Very-High-Resolution SAR Intensity Data	Nov 3, 2021	Autonomous DrivingDeep Learning	—Unverified	0
Absolute distance prediction based on deep learning object detection and monocular depth estimation models	Nov 2, 2021	Depth EstimationMonocular Depth 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