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 426–450 of 2454 papers

Title	Date	Tasks	Status	Hype
DenseMTL: Cross-task Attention Mechanism for Dense Multi-task Learning	Jun 17, 2022	2D Semantic SegmentationDepth Estimation	CodeCode Available	1
MonoGround: Detecting Monocular 3D Objects from the Ground	Jun 15, 2022	3D Object DetectionDepth Estimation	CodeCode Available	1
TriHorn-Net: A Model for Accurate Depth-Based 3D Hand Pose Estimation	Jun 14, 2022	3D Hand Pose EstimationData Augmentation	CodeCode Available	1
Dyna-DM: Dynamic Object-aware Self-supervised Monocular Depth Maps	Jun 8, 2022	Autonomous DrivingDepth Estimation	CodeCode Available	1
Learning Ego 3D Representation as Ray Tracing	Jun 8, 2022	3D Object DetectionBEV Segmentation	CodeCode Available	1
PanopticDepth: A Unified Framework for Depth-aware Panoptic Segmentation	Jun 1, 2022	Depth EstimationDepth Prediction	CodeCode Available	1
Revealing the Dark Secrets of Masked Image Modeling	May 26, 2022	Depth EstimationDiversity	CodeCode Available	1
Wavelet Feature Maps Compression for Image-to-Image CNNs	May 24, 2022	Depth EstimationNeural Network Compression	CodeCode Available	1
Deep Digging into the Generalization of Self-Supervised Monocular Depth Estimation	May 23, 2022	Depth EstimationMonocular Depth Estimation	CodeCode Available	1
Visual Attention-based Self-supervised Absolute Depth Estimation using Geometric Priors in Autonomous Driving	May 18, 2022	Autonomous DrivingDepth Estimation	CodeCode Available	1
MulT: An End-to-End Multitask Learning Transformer	May 17, 2022	DecoderDepth Estimation	CodeCode Available	1
Non-parametric Depth Distribution Modelling based Depth Inference for Multi-view Stereo	May 8, 2022	Depth EstimationDepth Prediction	CodeCode Available	1
Creating a Forensic Database of Shoeprints from Online Shoe Tread Photos	May 4, 2022	BenchmarkingDepth Estimation	CodeCode Available	1
Overcoming the Distance Estimation Bottleneck in Estimating Animal Abundance with Camera Traps	May 1, 2022	Depth EstimationMonocular Depth Estimation	CodeCode Available	1
Semi-MoreGAN: A New Semi-supervised Generative Adversarial Network for Mixture of Rain Removal	Apr 28, 2022	Depth EstimationDepth Prediction	CodeCode Available	1
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
StaSiS-Net: a stacked and siamese stereo network for depth reconstruction in modern 3D laparoscopy.	Apr 6, 2022	DecoderDepth Estimation	CodeCode Available	1
P3Depth: Monocular Depth Estimation with a Piecewise Planarity Prior	Apr 5, 2022	Depth EstimationMonocular Depth Estimation	CodeCode Available	1
Disentangling Object Motion and Occlusion for Unsupervised Multi-frame Monocular Depth	Mar 29, 2022	Depth EstimationDepth Prediction	CodeCode Available	1
LocalBins: Improving Depth Estimation by Learning Local Distributions	Mar 28, 2022	AllDecoder	CodeCode Available	1
Learning Occlusion-Aware Coarse-to-Fine Depth Map for Self-supervised Monocular Depth Estimation	Mar 21, 2022	Depth EstimationMonocular Depth Estimation	CodeCode Available	1
Depth Completion using Geometry-Aware Embedding	Mar 21, 2022	Depth CompletionDepth Estimation	CodeCode Available	1
Depth Estimation by Combining Binocular Stereo and Monocular Structured-Light	Mar 20, 2022	Depth EstimationStereo Matching	CodeCode Available	1
PanoFormer: Panorama Transformer for Indoor 360 Depth Estimation	Mar 17, 2022	Depth EstimationSemantic Segmentation	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