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 826–850 of 2454 papers

Title	Date	Tasks	Status	Hype
IEBins: Iterative Elastic Bins for Monocular Depth Estimation	Sep 25, 2023	Depth EstimationMonocular Depth Estimation	CodeCode Available	1
DISeR: Designing Imaging Systems with Reinforcement Learning	Sep 25, 2023	Autonomous VehiclesDepth Estimation	—Unverified	0
InSpaceType: Reconsider Space Type in Indoor Monocular Depth Estimation	Sep 24, 2023	Depth EstimationIndoor Monocular Depth Estimation	CodeCode Available	1
SRFNet: Monocular Depth Estimation with Fine-grained Structure via Spatial Reliability-oriented Fusion of Frames and Events	Sep 22, 2023	Depth EstimationMonocular Depth Estimation	—Unverified	0
SANPO: A Scene Understanding, Accessibility and Human Navigation Dataset	Sep 21, 2023	Autonomous VehiclesDepth Estimation	—Unverified	0
Dense 2D-3D Indoor Prediction with Sound via Aligned Cross-Modal Distillation	Sep 20, 2023	3D Scene ReconstructionDepth Estimation	CodeCode Available	0
BroadBEV: Collaborative LiDAR-camera Fusion for Broad-sighted Bird's Eye View Map Construction	Sep 20, 2023	Depth EstimationSensor Fusion	—Unverified	0
NDDepth: Normal-Distance Assisted Monocular Depth Estimation	Sep 19, 2023	Depth EstimationDepth Prediction	CodeCode Available	1
Large-scale Monocular Depth Estimation in the Wild	Sep 18, 2023	Depth EstimationDepth Prediction	—Unverified	0
GEDepth: Ground Embedding for Monocular Depth Estimation	Sep 18, 2023	Depth EstimationDepth Prediction	CodeCode Available	1
Robust Geometry-Preserving Depth Estimation Using Differentiable Rendering	Sep 18, 2023	Depth EstimationMonocular Depth Estimation	—Unverified	0
Deep Neighbor Layer Aggregation for Lightweight Self-Supervised Monocular Depth Estimation	Sep 17, 2023	Autonomous DrivingDecoder	CodeCode Available	0
DEUX: Active Exploration for Learning Unsupervised Depth Perception	Sep 16, 2023	Depth CompletionDepth Estimation	—Unverified	0
X-PDNet: Accurate Joint Plane Instance Segmentation and Monocular Depth Estimation with Cross-Task Distillation and Boundary Correction	Sep 15, 2023	Depth EstimationInstance Segmentation	CodeCode Available	1
Depth Estimation from a Single Optical Encoded Image using a Learned Colored-Coded Aperture	Sep 14, 2023	Depth Estimation	—Unverified	0
AmodalSynthDrive: A Synthetic Amodal Perception Dataset for Autonomous Driving	Sep 12, 2023	Autonomous DrivingBenchmarking	—Unverified	0
Towards Better Data Exploitation in Self-Supervised Monocular Depth Estimation	Sep 11, 2023	Data AugmentationDecoder	CodeCode Available	1
FusionFormer: A Multi-sensory Fusion in Bird's-Eye-View and Temporal Consistent Transformer for 3D Object Detection	Sep 11, 2023	3D Object DetectionAutonomous Driving	—Unverified	0
Robot Localization and Mapping Final Report -- Sequential Adversarial Learning for Self-Supervised Deep Visual Odometry	Sep 8, 2023	Depth EstimationGenerative Adversarial Network	—Unverified	0
Joint Self-supervised Depth and Optical Flow Estimation towards Dynamic Objects	Sep 7, 2023	Depth EstimationMotion Segmentation	—Unverified	0
Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields	Sep 6, 2023	Depth EstimationNeRF	CodeCode Available	1
Two-in-One Depth: Bridging the Gap Between Monocular and Binocular Self-supervised Depth Estimation	Sep 2, 2023	Depth EstimationMonocular Depth Estimation	CodeCode Available	1
RigNet++: Semantic Assisted Repetitive Image Guided Network for Depth Completion	Sep 1, 2023	Depth CompletionDepth Estimation	—Unverified	0
SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth Estimation	Sep 1, 2023	Autonomous DrivingComputational Efficiency	CodeCode Available	1
Structure-Aware Parametric Representations for Time-Resolved Light Transport	Aug 30, 2023	Depth Estimation	—Unverified	0

Show:10 25 50

← PrevPage 34 of 99Next →

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