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 1276–1300 of 2454 papers

Title	Date	Tasks	Status	Hype
Depthformer : Multiscale Vision Transformer For Monocular Depth Estimation With Local Global Information Fusion	Jul 10, 2022	DecoderDepth Estimation	CodeCode Available	1
Direct Handheld Burst Imaging to Simulated Defocus	Jul 9, 2022	Depth Estimation	—Unverified	0
BlindSpotNet: Seeing Where We Cannot See	Jul 8, 2022	Depth EstimationMonocular Depth Estimation	—Unverified	0
False Negative Reduction in Semantic Segmentation under Domain Shift using Depth Estimation	Jul 7, 2022	Depth EstimationMonocular Depth Estimation	CodeCode Available	0
DRL-ISP: Multi-Objective Camera ISP with Deep Reinforcement Learning	Jul 7, 2022	2D Object DetectionDeep Reinforcement Learning	—Unverified	0
Network Binarization via Contrastive Learning	Jul 6, 2022	BinarizationContrastive Learning	CodeCode Available	1
Gaze-Vergence-Controlled See-Through Vision in Augmented Reality	Jul 6, 2022	Depth Estimation	—Unverified	0
Multiview Detection with Cardboard Human Modeling	Jul 5, 2022	Depth EstimationMultiview Detection	CodeCode Available	0
Can Language Understand Depth?	Jul 3, 2022	Depth Estimationimage-classification	CodeCode Available	1
Beyond Visual Field of View: Perceiving 3D Environment with Echoes and Vision	Jul 3, 2022	Depth EstimationRobot Navigation	—Unverified	0
PS^2F: Polarized Spiral Point Spread Function for Single-Shot 3D Sensing	Jul 3, 2022	Depth EstimationMonocular Depth Estimation	—Unverified	0
Recovering Detail in 3D Shapes Using Disparity Maps	Jul 1, 2022	Depth EstimationDisparity Estimation	—Unverified	0
How Far Can I Go ? : A Self-Supervised Approach for Deterministic Video Depth Forecasting	Jul 1, 2022	Depth EstimationPose Estimation	CodeCode Available	0
When the Sun Goes Down: Repairing Photometric Losses for All-Day Depth Estimation	Jun 28, 2022	AllDepth Estimation	CodeCode Available	1
Accurate and Real-time Pseudo Lidar Detection: Is Stereo Neural Network Really Necessary?	Jun 28, 2022	3D Object DetectionDepth Estimation	—Unverified	0
MGNet: Monocular Geometric Scene Understanding for Autonomous Driving	Jun 27, 2022	Autonomous DrivingDepth Estimation	CodeCode Available	1
LaRa: Latents and Rays for Multi-Camera Bird's-Eye-View Semantic Segmentation	Jun 27, 2022	Autonomous DrivingBird's-Eye View Semantic Segmentation	CodeCode Available	1
Monocular Depth Decomposition of Semi-Transparent Volume Renderings	Jun 27, 2022	Depth EstimationMonocular Depth Estimation	CodeCode Available	0
Monocular Spherical Depth Estimation with Explicitly Connected Weak Layout Cues	Jun 22, 2022	Depth EstimationRoom Layout Estimation	—Unverified	0
A High Resolution Multi-exposure Stereoscopic Image & Video Database of Natural Scenes	Jun 22, 2022	Depth EstimationTone Mapping	—Unverified	0
BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection	Jun 21, 2022	3D Object DetectionDepth Estimation	CodeCode Available	2
Semantics-Depth-Symbiosis: Deeply Coupled Semi-Supervised Learning of Semantics and Depth	Jun 21, 2022	Data AugmentationDepth Estimation	—Unverified	0
MEStereo-Du2CNN: A Novel Dual Channel CNN for Learning Robust Depth Estimates from Multi-exposure Stereo Images for HDR 3D Applications	Jun 21, 2022	Depth EstimationStereo Depth Estimation	—Unverified	0
0/1 Deep Neural Networks via Block Coordinate Descent	Jun 19, 2022	10-shot image generation	—Unverified	0
Analysis & Computational Complexity Reduction of Monocular and Stereo Depth Estimation Techniques	Jun 18, 2022	Decision MakingDepth Estimation	CodeCode Available	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