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 801–825 of 2454 papers

Title	Date	Tasks	Status	Hype
ConsistNet: Enforcing 3D Consistency for Multi-view Images Diffusion	Oct 16, 2023	Depth EstimationDepth Prediction	CodeCode Available	1
PU-Ray: Domain-Independent Point Cloud Upsampling via Ray Marching on Neural Implicit Surface	Oct 12, 2023	Autonomous DrivingDepth Estimation	CodeCode Available	0
EC-Depth: Exploring the consistency of self-supervised monocular depth estimation in challenging scenes	Oct 12, 2023	Autonomous DrivingDepth Estimation	CodeCode Available	1
Multi-Task Learning-Enabled Automatic Vessel Draft Reading for Intelligent Maritime Surveillance	Oct 11, 2023	Depth EstimationMulti-Task Learning	—Unverified	0
JointNet: Extending Text-to-Image Diffusion for Dense Distribution Modeling	Oct 10, 2023	Depth EstimationDepth Prediction	—Unverified	0
WeatherDepth: Curriculum Contrastive Learning for Self-Supervised Depth Estimation under Adverse Weather Conditions	Oct 9, 2023	Contrastive LearningDepth Estimation	CodeCode Available	1
Towards Long-Range 3D Object Detection for Autonomous Vehicles	Oct 7, 2023	3D Object DetectionAutonomous Vehicles	—Unverified	0
Federated Self-Supervised Learning of Monocular Depth Estimators for Autonomous Vehicles	Oct 7, 2023	Autonomous VehiclesDepth Estimation	—Unverified	0
MeSa: Masked, Geometric, and Supervised Pre-training for Monocular Depth Estimation	Oct 6, 2023	Depth EstimationMonocular Depth Estimation	—Unverified	0
Sub-token ViT Embedding via Stochastic Resonance Transformers	Oct 6, 2023	Depth EstimationDepth Prediction	CodeCode Available	0
Skin the sheep not only once: Reusing Various Depth Datasets to Drive the Learning of Optical Flow	Oct 3, 2023	Depth EstimationOptical Flow Estimation	—Unverified	0
Selective Feature Adapter for Dense Vision Transformers	Oct 3, 2023	Depth Estimation	—Unverified	0
RSRD: A Road Surface Reconstruction Dataset and Benchmark for Safe and Comfortable Autonomous Driving	Oct 3, 2023	Autonomous DrivingAutonomous Vehicles	—Unverified	0
Multi-task Learning with 3D-Aware Regularization	Oct 2, 2023	Depth EstimationMulti-Task Learning	CodeCode Available	1
Task-guided Domain Gap Reduction for Monocular Depth Prediction in Endoscopy	Oct 2, 2023	Depth EstimationDepth Prediction	CodeCode Available	0
Win-Win: Training High-Resolution Vision Transformers from Two Windows	Oct 1, 2023	Depth EstimationDepth Prediction	—Unverified	0
InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists	Sep 30, 2023	Depth EstimationImage Generation	CodeCode Available	2
Text-image Alignment for Diffusion-based Perception	Sep 29, 2023	Depth EstimationImage Generation	CodeCode Available	1
GSDC Transformer: An Efficient and Effective Cue Fusion for Monocular Multi-Frame Depth Estimation	Sep 29, 2023	Autonomous DrivingDepth Estimation	—Unverified	0
IFAST: Weakly Supervised Interpretable Face Anti-spoofing from Single-shot Binocular NIR Images	Sep 29, 2023	Depth EstimationDisparity Estimation	—Unverified	0
Gated Cross-Attention Network for Depth Completion	Sep 28, 2023	Autonomous DrivingDepth Completion	—Unverified	0
Finite Scalar Quantization: VQ-VAE Made Simple	Sep 27, 2023	ColorizationDepth Estimation	CodeCode Available	1
GasMono: Geometry-Aided Self-Supervised Monocular Depth Estimation for Indoor Scenes	Sep 26, 2023	Depth EstimationMonocular Depth Estimation	CodeCode Available	1
M^33D: Learning 3D priors using Multi-Modal Masked Autoencoders for 2D image and video understanding	Sep 26, 2023	2D Semantic SegmentationAction Detection	—Unverified	0
ADU-Depth: Attention-based Distillation with Uncertainty Modeling for Depth Estimation	Sep 26, 2023	3D geometryDepth 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