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 301–325 of 2454 papers

Title	Date	Tasks	Status	Hype
NVDS+: Towards Efficient and Versatile Neural Stabilizer for Video Depth Estimation	Jul 17, 2023	3D ReconstructionDepth Estimation	CodeCode Available	1
FlipNeRF: Flipped Reflection Rays for Few-shot Novel View Synthesis	Jun 30, 2023	3D geometryDepth Estimation	CodeCode Available	1
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
Depth and DOF Cues Make A Better Defocus Blur Detector	Jun 20, 2023	Defocus Blur DetectionDepth Estimation	CodeCode Available	1
Tame a Wild Camera: In-the-Wild Monocular Camera Calibration	Jun 19, 2023	3D Object DetectionCamera Calibration	CodeCode Available	1
Predict to Detect: Prediction-guided 3D Object Detection using Sequential Images	Jun 14, 2023	3D Object DetectionAutonomous Driving	CodeCode Available	1
SparseTrack: Multi-Object Tracking by Performing Scene Decomposition based on Pseudo-Depth	Jun 8, 2023	Depth EstimationMulti-Object Tracking	CodeCode Available	1
Towards In-context Scene Understanding	Jun 2, 2023	Depth EstimationIn-Context Learning	CodeCode Available	1
A technique to jointly estimate depth and depth uncertainty for unmanned aerial vehicles	May 31, 2023	Autonomous VehiclesDepth Aleatoric Uncertainty Estimation	CodeCode Available	1
DaRF: Boosting Radiance Fields from Sparse Inputs with Monocular Depth Adaptation	May 30, 2023	3D geometryDepth Estimation	CodeCode Available	1
OccCasNet: Occlusion-aware Cascade Cost Volume for Light Field Depth Estimation	May 28, 2023	Depth EstimationDisparity Estimation	CodeCode Available	1
Text2NeRF: Text-Driven 3D Scene Generation with Neural Radiance Fields	May 19, 2023	3D Generation3D Reconstruction	CodeCode Available	1
Brain Captioning: Decoding human brain activity into images and text	May 19, 2023	Brain DecodingDepth Estimation	CodeCode Available	1
Virtual Occlusions Through Implicit Depth	May 11, 2023	Depth Estimation	CodeCode Available	1
ViP-NeRF: Visibility Prior for Sparse Input Neural Radiance Fields	Apr 28, 2023	Depth EstimationNeRF	CodeCode Available	1
RGB-D Indiscernible Object Counting in Underwater Scenes	Apr 23, 2023	BenchmarkingDepth Estimation	CodeCode Available	1
A geometry-aware deep network for depth estimation in monocular endoscopy	Apr 20, 2023	3D ReconstructionAnatomy	CodeCode Available	1
Learning to Fuse Monocular and Multi-view Cues for Multi-frame Depth Estimation in Dynamic Scenes	Apr 18, 2023	Autonomous DrivingDepth Estimation	CodeCode Available	1
Temporally Consistent Online Depth Estimation Using Point-Based Fusion	Apr 15, 2023	3D ReconstructionDepth Estimation	CodeCode Available	1
DualRefine: Self-Supervised Depth and Pose Estimation Through Iterative Epipolar Sampling and Refinement Toward Equilibrium	Apr 7, 2023	Depth EstimationDepth Prediction	CodeCode Available	1
DEFLOW: Self-supervised 3D Motion Estimation of Debris Flow	Apr 5, 2023	Autonomous DrivingDepth Estimation	CodeCode Available	1
altiro3D: Scene representation from single image and novel view synthesis	Apr 2, 2023	Depth EstimationMonocular Depth Estimation	CodeCode Available	1
ENRICH: Multi-purposE dataset for beNchmaRking In Computer vision and pHotogrammetry	Apr 1, 2023	3D Reconstruction3D Scene Reconstruction	CodeCode Available	1

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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