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 1851–1875 of 2454 papers

Title	Date	Tasks	Status	Hype
Multi-Loss Rebalancing Algorithm for Monocular Depth Estimation	Aug 1, 2020	Depth EstimationMonocular Depth Estimation	CodeCode Available	1
Pixel-Pair Occlusion Relationship Map (P2ORM): Formulation, Inference & Application	Aug 1, 2020	Depth EstimationMonocular Depth Estimation	—Unverified	0
CLIFFNet for Monocular Depth Estimation with Hierarchical Embedding Loss	Aug 1, 2020	Depth EstimationMonocular Depth Estimation	—Unverified	0
Single-Image Depth Prediction Makes Feature Matching Easier	Aug 1, 2020	Depth EstimationDepth Prediction	CodeCode Available	1
HMOR: Hierarchical Multi-Person Ordinal Relations for Monocular Multi-Person 3D Pose Estimation	Aug 1, 2020	3D Human Pose Estimation3D Multi-Person Pose Estimation	—Unverified	0
Deep Depth Estimation from Visual-Inertial SLAM	Jul 31, 2020	Depth EstimationSimultaneous Localization and Mapping	CodeCode Available	1
Real-Time Uncertainty Estimation in Computer Vision via Uncertainty-Aware Distribution Distillation	Jul 31, 2020	Depth EstimationSemantic Segmentation	—Unverified	0
S^3Net: Semantic-Aware Self-supervised Depth Estimation with Monocular Videos and Synthetic Data	Jul 28, 2020	Autonomous DrivingDepth Estimation	—Unverified	0
On the Impact of Lossy Image and Video Compression on the Performance of Deep Convolutional Neural Network Architectures	Jul 28, 2020	Action RecognitionDecoder	—Unverified	0
Robust Vision Using Retro Reflective Markers for Remote Handling in ITER	Jul 27, 2020	Depth EstimationStereo Depth Estimation	—Unverified	0
Adaptive LiDAR Sampling and Depth Completion using Ensemble Variance	Jul 27, 2020	Autonomous VehiclesDepth Completion	CodeCode Available	0
Self-Supervised Monocular 3D Face Reconstruction by Occlusion-Aware Multi-view Geometry Consistency	Jul 24, 2020	3D Face ReconstructionDepth Estimation	CodeCode Available	1
Improving Monocular Depth Estimation by Leveraging Structural Awareness and Complementary Datasets	Jul 22, 2020	Depth EstimationMonocular Depth Estimation	—Unverified	0
Mobile3DRecon: Real-time Monocular 3D Reconstruction on a Mobile Phone	Jul 21, 2020	3D ReconstructionDepth Estimation	—Unverified	0
Feature-metric Loss for Self-supervised Learning of Depth and Egomotion	Jul 21, 2020	Depth EstimationMonocular Depth Estimation	CodeCode Available	1
Multi-person 3D Pose Estimation in Crowded Scenes Based on Multi-View Geometry	Jul 21, 2020	3D Human Pose Estimation3D Multi-Person Human Pose Estimation	CodeCode Available	1
Non-Local Spatial Propagation Network for Depth Completion	Jul 20, 2020	Depth CompletionDepth Estimation	CodeCode Available	1
Object-Aware Centroid Voting for Monocular 3D Object Detection	Jul 20, 2020	3D Object DetectionDepth Estimation	—Unverified	0
People as Scene Probes	Jul 17, 2020	Depth Estimation	—Unverified	0
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
Defocus Blur Detection via Depth Distillation	Jul 16, 2020	DecoderDefocus Blur Detection	CodeCode Available	1
Partially Supervised Multi-Task Network for Single-View Dietary Assessment	Jul 15, 2020	Depth EstimationDepth Prediction	—Unverified	0
P2D: a self-supervised method for depth estimation from polarimetry	Jul 15, 2020	Depth EstimationMonocular Depth Estimation	—Unverified	0
P^2Net: Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation	Jul 15, 2020	Depth EstimationMonocular Depth Estimation	CodeCode Available	1
Monocular Retinal Depth Estimation and Joint Optic Disc and Cup Segmentation using Adversarial Networks	Jul 15, 2020	Depth Estimation	—Unverified	0

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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