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 1326–1350 of 2454 papers

Title	Date	Tasks	Status	Hype
Positional Information is All You Need: A Novel Pipeline for Self-Supervised SVDE from Videos	May 18, 2022	AllDepth Estimation	—Unverified	0
Learning Monocular Depth Estimation via Selective Distillation of Stereo Knowledge	May 18, 2022	DecoderDepth Estimation	—Unverified	0
Efficient Stereo Depth Estimation for Pseudo LiDAR: A Self-Supervised Approach Based on Multi-Input ResNet Encoder	May 17, 2022	Depth EstimationStereo Depth Estimation	—Unverified	0
MulT: An End-to-End Multitask Learning Transformer	May 17, 2022	DecoderDepth Estimation	CodeCode Available	1
Review on Panoramic Imaging and Its Applications in Scene Understanding	May 11, 2022	Autonomous DrivingDepth Estimation	—Unverified	0
Is my Depth Ground-Truth Good Enough? HAMMER -- Highly Accurate Multi-Modal Dataset for DEnse 3D Scene Regression	May 9, 2022	Depth EstimationSensor Fusion	—Unverified	0
Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation	May 9, 2022	2D Panoptic Segmentation3D scene Editing	—Unverified	0
Non-parametric Depth Distribution Modelling based Depth Inference for Multi-view Stereo	May 8, 2022	Depth EstimationDepth Prediction	CodeCode Available	1
FisheyeDistill: Self-Supervised Monocular Depth Estimation with Ordinal Distillation for Fisheye Cameras	May 5, 2022	Depth EstimationMonocular Depth Estimation	—Unverified	0
Exploiting Correspondences with All-pairs Correlations for Multi-view Depth Estimation	May 5, 2022	AllDepth Estimation	—Unverified	0
Creating a Forensic Database of Shoeprints from Online Shoe Tread Photos	May 4, 2022	BenchmarkingDepth Estimation	CodeCode Available	1
Outdoor Monocular Depth Estimation: A Research Review	May 3, 2022	Depth EstimationMonocular Depth Estimation	—Unverified	0
MUTR3D: A Multi-camera Tracking Framework via 3D-to-2D Queries	May 2, 2022	Autonomous DrivingDepth Estimation	CodeCode Available	2
Overcoming the Distance Estimation Bottleneck in Estimating Animal Abundance with Camera Traps	May 1, 2022	Depth EstimationMonocular Depth Estimation	CodeCode Available	1
Unsupervised Visible-light Images Guided Cross-Spectrum Depth Estimation from Dual-Modality Cameras	Apr 30, 2022	Depth Estimation	CodeCode Available	0
SideRT: A Real-time Pure Transformer Architecture for Single Image Depth Estimation	Apr 29, 2022	Depth Estimation	—Unverified	0
Depth Estimation with Simplified Transformer	Apr 28, 2022	Autonomous DrivingDepth Estimation	—Unverified	0
Semi-MoreGAN: A New Semi-supervised Generative Adversarial Network for Mixture of Rain Removal	Apr 28, 2022	Depth EstimationDepth Prediction	CodeCode Available	1
RealNet: Combining Optimized Object Detection with Information Fusion Depth Estimation Co-Design Method on IoT	Apr 24, 2022	Autonomous DrivingDepth Estimation	CodeCode Available	0
Investigating Neural Architectures by Synthetic Dataset Design	Apr 23, 2022	Depth Estimation	CodeCode Available	0
Monocular Depth Estimation Using Cues Inspired by Biological Vision Systems	Apr 21, 2022	Depth EstimationDepth Prediction	CodeCode Available	0
Photometric single-view dense 3D reconstruction in endoscopy	Apr 19, 2022	3D ReconstructionDepth Estimation	CodeCode Available	1
Cylin-Painting: Seamless 360 Panoramic Image Outpainting and Beyond	Apr 18, 2022	Depth EstimationImage Outpainting	CodeCode Available	1
UAMD-Net: A Unified Adaptive Multimodal Neural Network for Dense Depth Completion	Apr 16, 2022	Autonomous DrivingDepth Completion	—Unverified	0
Multi-Frame Self-Supervised Depth with Transformers	Apr 15, 2022	Depth EstimationMonocular 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