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 2276–2300 of 2454 papers

Title	Date	Tasks	Status
Structured Knowledge Distillation for Dense Prediction	Mar 11, 2019	Depth EstimationGeneral Classification	CodeCode Available
Adversarial Attacks on Monocular Pose Estimation	Jul 14, 2022	Depth EstimationMonocular Depth Estimation	CodeCode Available
D4D: An RGBD diffusion model to boost monocular depth estimation	Mar 12, 2024	Depth EstimationMonocular Depth Estimation	CodeCode Available
A Physical Model-Guided Framework for Underwater Image Enhancement and Depth Estimation	Jul 5, 2024	Depth EstimationImage Enhancement	CodeCode Available
FA-Depth: Toward Fast and Accurate Self-supervised Monocular Depth Estimation	May 17, 2024	Depth EstimationMonocular Depth Estimation	CodeCode Available
SaccadeCam: Adaptive Visual Attention for Monocular Depth Sensing	Mar 24, 2021	Depth EstimationMonocular Depth Estimation	CodeCode Available
Exploring the Mutual Influence between Self-Supervised Single-Frame and Multi-Frame Depth Estimation	Apr 25, 2023	Depth Estimation	CodeCode Available
SAFENet: Self-Supervised Monocular Depth Estimation with Semantic-Aware Feature Extraction	Oct 6, 2020	Depth EstimationDepth Prediction	CodeCode Available
U-HRNet: Delving into Improving Semantic Representation of High Resolution Network for Dense Prediction	Oct 13, 2022	Depth EstimationDepth Prediction	CodeCode Available
Benchmarking Robust Self-Supervised Learning Across Diverse Downstream Tasks	Jul 17, 2024	Adversarial RobustnessBenchmarking	CodeCode Available
Style Augmentation: Data Augmentation via Style Randomization	Sep 14, 2018	ClassificationData Augmentation	CodeCode Available
MorphEyes: Variable Baseline Stereo For Quadrotor Navigation	Nov 5, 2020	Depth Estimation	CodeCode Available
MonoSIM: Simulating Learning Behaviors of Heterogeneous Point Cloud Object Detectors for Monocular 3D Object Detection	Aug 19, 2022	3D Object DetectionAutonomous Driving	CodeCode Available
MonoGRNet: A Geometric Reasoning Network for Monocular 3D Object Localization	Nov 26, 2018	2D Object Detection3D Object Detection	CodeCode Available
Exploiting temporal consistency for real-time video depth estimation	Aug 10, 2019	Depth EstimationMonocular Depth Estimation	CodeCode Available
Sub-token ViT Embedding via Stochastic Resonance Transformers	Oct 6, 2023	Depth EstimationDepth Prediction	CodeCode Available
Anytime Stereo Image Depth Estimation on Mobile Devices	Oct 26, 2018	Depth EstimationStereo Depth Estimation	CodeCode Available
Benchmarking Robustness of Endoscopic Depth Estimation with Synthetically Corrupted Data	Sep 24, 2024	BenchmarkingDepth Estimation	CodeCode Available
Monocular Depth Parameterizing Networks	Dec 21, 2020	Depth EstimationMonocular Depth Estimation	CodeCode Available
Exploiting Depth Information for Wildlife Monitoring	Feb 10, 2021	Depth EstimationInstance Segmentation	CodeCode Available
ScaleDepth: Decomposing Metric Depth Estimation into Scale Prediction and Relative Depth Estimation	Jul 11, 2024	Depth EstimationMonocular Depth Estimation	CodeCode Available
Monocular Depth Estimation with Hierarchical Fusion of Dilated CNNs and Soft-Weighted-Sum Inference	Aug 2, 2017	Depth EstimationMonocular Depth Estimation	CodeCode Available
Veritatem Dies Aperit- Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach	Mar 26, 2019	Autonomous DrivingDepth Completion	CodeCode Available
Every Pixel Counts ++: Joint Learning of Geometry and Motion with 3D Holistic Understanding	Oct 14, 2018	3D geometryDepth Estimation	CodeCode Available
Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach	Jun 1, 2019	Autonomous DrivingDepth Completion	CodeCode Available

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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