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 901–925 of 2454 papers

Title	Date	Tasks	Status	Hype
On Point Affiliation in Feature Upsampling	Jul 17, 2023	DecoderDepth Estimation	CodeCode Available	1
NVDS+: Towards Efficient and Versatile Neural Stabilizer for Video Depth Estimation	Jul 17, 2023	3D ReconstructionDepth Estimation	CodeCode Available	1
RayMVSNet++: Learning Ray-based 1D Implicit Fields for Accurate Multi-View Stereo	Jul 16, 2023	Depth EstimationMulti-Task Learning	—Unverified	0
Multi-Object Discovery by Low-Dimensional Object Motion	Jul 16, 2023	Depth EstimationMonocular Depth Estimation	—Unverified	0
Learning Subjective Time-Series Data via Utopia Label Distribution Approximation	Jul 15, 2023	Age EstimationDepth Estimation	—Unverified	0
DFR: Depth from Rotation by Uncalibrated Image Rectification with Latitudinal Motion Assumption	Jul 11, 2023	Depth Estimation	CodeCode Available	0
TransPose: A Transformer-based 6D Object Pose Estimation Network with Depth Refinement	Jul 9, 2023	6D Pose Estimation6D Pose Estimation using RGB	—Unverified	0
Depth Estimation Analysis of Orthogonally Divergent Fisheye Cameras with Distortion Removal	Jul 7, 2023	3D ReconstructionAutonomous Navigation	—Unverified	0
SVDM: Single-View Diffusion Model for Pseudo-Stereo 3D Object Detection	Jul 5, 2023	3D Object DetectionDepth Estimation	—Unverified	0
LXL: LiDAR Excluded Lean 3D Object Detection with 4D Imaging Radar and Camera Fusion	Jul 3, 2023	3D Object Detection3D Object Detection (RoI)	—Unverified	0
GMM: Delving into Gradient Aware and Model Perceive Depth Mining for Monocular 3D Detection	Jun 30, 2023	2D Object Detection3D Object Detection	—Unverified	0
FlipNeRF: Flipped Reflection Rays for Few-shot Novel View Synthesis	Jun 30, 2023	3D geometryDepth Estimation	CodeCode Available	1
Towards Zero-Shot Scale-Aware Monocular Depth Estimation	Jun 29, 2023	DecoderDepth Estimation	CodeCode Available	2
MIMIC: Masked Image Modeling with Image Correspondences	Jun 27, 2023	Depth EstimationPose Estimation	CodeCode Available	1
Cross-modal transformers for infrared and visible image fusion	Jun 26, 2023	Cross-Modal RetrievalDepth Estimation	CodeCode Available	1
Learnable Differencing Center for Nighttime Depth Perception	Jun 26, 2023	Depth CompletionDepth Estimation	CodeCode Available	1
Neural 360^ Structured Light with Learned Metasurfaces	Jun 23, 2023	Depth Estimation	—Unverified	0
One at a Time: Progressive Multi-step Volumetric Probability Learning for Reliable 3D Scene Perception	Jun 22, 2023	Depth EstimationRepresentation Learning	—Unverified	0
Continuous Online Extrinsic Calibration of Fisheye Camera and LiDAR	Jun 22, 2023	Depth EstimationMonocular Depth Estimation	—Unverified	0
Self-supervised Multi-task Learning Framework for Safety and Health-Oriented Connected Driving Environment Perception using Onboard Camera	Jun 20, 2023	Depth EstimationImage Generation	—Unverified	0
Depth and DOF Cues Make A Better Defocus Blur Detector	Jun 20, 2023	Defocus Blur DetectionDepth Estimation	CodeCode Available	1
BEVScope: Enhancing Self-Supervised Depth Estimation Leveraging Bird's-Eye-View in Dynamic Scenarios	Jun 20, 2023	Autonomous DrivingDepth Estimation	CodeCode Available	0
Tame a Wild Camera: In-the-Wild Monocular Camera Calibration	Jun 19, 2023	3D Object DetectionCamera Calibration	CodeCode Available	1
Understanding Depth Map Progressively: Adaptive Distance Interval Separation for Monocular 3d Object Detection	Jun 19, 2023	3D Object DetectionDepth Estimation	—Unverified	0
C2F2NeUS: Cascade Cost Frustum Fusion for High Fidelity and Generalizable Neural Surface Reconstruction	Jun 16, 2023	Depth EstimationSurface Reconstruction	—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