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 376–400 of 2454 papers

Title	Date	Tasks	Status	Hype	Score
Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks	Jan 31, 2023	Adversarial RobustnessAutonomous Driving	CodeCode Available	1	5
Curvature-guided dynamic scale networks for Multi-view Stereo	Dec 11, 2021	3D ReconstructionDepth Estimation	CodeCode Available	1	5
E-DSSR: Efficient Dynamic Surgical Scene Reconstruction with Transformer-based Stereoscopic Depth Perception	Jul 1, 2021	AnatomyDepth Estimation	CodeCode Available	1	5
CutDepth:Edge-aware Data Augmentation in Depth Estimation	Jul 16, 2021	Data AugmentationDepth Estimation	CodeCode Available	1	5
Absolute distance prediction based on deep learning object detection and monocular depth estimation models	Nov 2, 2021	Depth EstimationMonocular Depth Estimation	CodeCode Available	1	5
360 Depth Estimation in the Wild -- The Depth360 Dataset and the SegFuse Network	Feb 16, 2022	Autonomous DrivingDepth Estimation	CodeCode Available	1	5
Depthformer : Multiscale Vision Transformer For Monocular Depth Estimation With Local Global Information Fusion	Jul 10, 2022	DecoderDepth Estimation	CodeCode Available	1	5
Improving Deep Regression with Ordinal Entropy	Jan 21, 2023	ClassificationCrowd Counting	CodeCode Available	1	5
RGB-D Indiscernible Object Counting in Underwater Scenes	Apr 23, 2023	BenchmarkingDepth Estimation	CodeCode Available	1	5
Is Pseudo-Lidar needed for Monocular 3D Object detection?	Aug 13, 2021	3D Object DetectionDepth Estimation	CodeCode Available	1	5
DAG: Depth-Aware Guidance with Denoising Diffusion Probabilistic Models	Dec 17, 2022	DenoisingDepth Estimation	CodeCode Available	1	5
AeDet: Azimuth-invariant Multi-view 3D Object Detection	Nov 22, 2022	3D Object DetectionDepth Estimation	CodeCode Available	1	5
DARES: Depth Anything in Robotic Endoscopic Surgery with Self-supervised Vector-LoRA of the Foundation Model	Aug 30, 2024	3D ReconstructionDepth Estimation	CodeCode Available	1	5
DaRF: Boosting Radiance Fields from Sparse Inputs with Monocular Depth Adaptation	May 30, 2023	3D geometryDepth Estimation	CodeCode Available	1	5
GeoNet: Geometric Neural Network for Joint Depth and Surface Normal Estimation	Jun 1, 2018	Depth EstimationSurface Normal Estimation	CodeCode Available	1	5
Depth Estimation from Monocular Images and Sparse Radar Data	Sep 30, 2020	Depth Estimation	CodeCode Available	1	5
End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection	Apr 7, 2020	3D Depth Estimation3D Object Detection	CodeCode Available	1	5
Chitransformer: Towards Reliable Stereo From Cues	Jan 1, 2022	Depth EstimationMonocular Depth Estimation	CodeCode Available	1	5
Depth Estimation from Monocular Images and Sparse radar using Deep Ordinal Regression Network	Jul 15, 2021	Depth EstimationMonocular Depth Estimation	CodeCode Available	1	5
ChiTransformer:Towards Reliable Stereo from Cues	Mar 9, 2022	Depth EstimationRetrieval	CodeCode Available	1	5
Channel-Wise Attention-Based Network for Self-Supervised Monocular Depth Estimation	Dec 24, 2021	Depth EstimationDepth Prediction	CodeCode Available	1	5
IEBins: Iterative Elastic Bins for Monocular Depth Estimation	Sep 25, 2023	Depth EstimationMonocular Depth Estimation	CodeCode Available	1	5
DCDepth: Progressive Monocular Depth Estimation in Discrete Cosine Domain	Oct 19, 2024	Depth EstimationMonocular Depth Estimation	CodeCode Available	1	5
Image Masking for Robust Self-Supervised Monocular Depth Estimation	Oct 5, 2022	Autonomous DrivingDepth Estimation	CodeCode Available	1	5
Channel-Aware Distillation Transformer for Depth Estimation on Nano Drones	Mar 18, 2023	Autonomous NavigationDepth Estimation	CodeCode Available	1	5

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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