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 476–500 of 2454 papers

Title	Date	Tasks	Status	Hype
GroundUp: Rapid Sketch-Based 3D City Massing	Jul 17, 2024	3D geometryDepth Estimation	—Unverified	0
Benchmarking Robust Self-Supervised Learning Across Diverse Downstream Tasks	Jul 17, 2024	Adversarial RobustnessBenchmarking	CodeCode Available	0
Temporally Consistent Stereo Matching	Jul 16, 2024	Depth EstimationStereo Matching	CodeCode Available	2
OPEN: Object-wise Position Embedding for Multi-view 3D Object Detection	Jul 15, 2024	3D Object DetectionDepth Estimation	CodeCode Available	2
IDOL: Unified Dual-Modal Latent Diffusion for Human-Centric Joint Video-Depth Generation	Jul 15, 2024	DenoisingDepth Estimation	CodeCode Available	2
Towards Scale-Aware Full Surround Monodepth with Transformers	Jul 15, 2024	Depth Estimation	—Unverified	0
LabelDistill: Label-guided Cross-modal Knowledge Distillation for Camera-based 3D Object Detection	Jul 14, 2024	3D Object DetectionDepth Estimation	CodeCode Available	1
ProDepth: Boosting Self-Supervised Multi-Frame Monocular Depth with Probabilistic Fusion	Jul 12, 2024	DecoderDepth Estimation	CodeCode Available	1
ScaleDepth: Decomposing Metric Depth Estimation into Scale Prediction and Relative Depth Estimation	Jul 11, 2024	Depth EstimationMonocular Depth Estimation	CodeCode Available	0
SCIPaD: Incorporating Spatial Clues into Unsupervised Pose-Depth Joint Learning	Jul 7, 2024	Autonomous DrivingCamera Pose Estimation	CodeCode Available	1
A Physical Model-Guided Framework for Underwater Image Enhancement and Depth Estimation	Jul 5, 2024	Depth EstimationImage Enhancement	CodeCode Available	0
Towards Cross-View-Consistent Self-Supervised Surround Depth Estimation	Jul 4, 2024	Autonomous DrivingDepth Estimation	CodeCode Available	0
Parametric Modeling and Estimation of Photon Registrations for 3D Imaging	Jul 2, 2024	Depth Estimation	—Unverified	0
Depth-Aware Endoscopic Video Inpainting	Jul 2, 2024	Depth EstimationVideo Inpainting	CodeCode Available	1
Uni-DVPS: Unified Model for Depth-Aware Video Panoptic Segmentation	Jul 1, 2024	Autonomous DrivingDecoder	CodeCode Available	1
Physics-Inspired Deep Learning and Transferable Models for Bridge Scour Prediction	Jul 1, 2024	Deep LearningDepth Estimation	—Unverified	0
CaFNet: A Confidence-Driven Framework for Radar Camera Depth Estimation	Jun 30, 2024	Autonomous DrivingDepth Estimation	CodeCode Available	1
Deep Learning-based Depth Estimation Methods from Monocular Image and Videos: A Comprehensive Survey	Jun 28, 2024	3D ReconstructionAutonomous Driving	—Unverified	0
Dense Monocular Motion Segmentation Using Optical Flow and Pseudo Depth Map: A Zero-Shot Approach	Jun 27, 2024	Depth EstimationMonocular Depth Estimation	—Unverified	0
360 in the Wild: Dataset for Depth Prediction and View Synthesis	Jun 27, 2024	Camera LocalizationDepth Estimation	—Unverified	0
DoubleTake: Geometry Guided Depth Estimation	Jun 26, 2024	3D geometry3D Scene Reconstruction	—Unverified	0
Depth-Guided Semi-Supervised Instance Segmentation	Jun 25, 2024	Depth EstimationInstance Segmentation	—Unverified	0
PID4LaTe: a physics-informed deep learning model for lake multi-depth temperature prediction	Jun 24, 2024	Depth EstimationDepth Prediction	CodeCode Available	0
Uncertainty and Self-Supervision in Single-View Depth	Jun 20, 2024	3D geometryAutonomous Driving	—Unverified	0
Splatter a Video: Video Gaussian Representation for Versatile Processing	Jun 19, 2024	Depth EstimationDepth Prediction	—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