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 2151–2175 of 2454 papers

Title	Date	Tasks	Status
TriDepth: Triangular Patch-based Deep Depth Prediction	May 3, 2019	3D Scene ReconstructionDepth Estimation	—Unverified
Learn Stereo, Infer Mono: Siamese Networks for Self-Supervised, Monocular, Depth Estimation	May 1, 2019	Depth EstimationMonocular Depth Estimation	CodeCode Available
Structured Prediction using cGANs with Fusion Discriminator	Apr 30, 2019	Depth EstimationGenerative Adversarial Network	—Unverified
DeepPerimeter: Indoor Boundary Estimation from Posed Monocular Sequences	Apr 25, 2019	ClusteringDepth Estimation	—Unverified
Learning the Depths of Moving People by Watching Frozen People	Apr 25, 2019	Depth EstimationDepth Prediction	—Unverified
Web Stereo Video Supervision for Depth Prediction from Dynamic Scenes	Apr 25, 2019	Depth EstimationDepth Prediction	—Unverified
Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More	Apr 23, 2019	Depth EstimationScene Parsing	—Unverified
A Large RGB-D Dataset for Semi-supervised Monocular Depth Estimation	Apr 23, 2019	Depth EstimationMonocular Depth Estimation	—Unverified
Deep Optics for Monocular Depth Estimation and 3D Object Detection	Apr 18, 2019	3D Object DetectionDepth Estimation	—Unverified
Online Adaptation through Meta-Learning for Stereo Depth Estimation	Apr 17, 2019	Depth EstimationMeta-Learning	—Unverified
Multi-Scale Geometric Consistency Guided Multi-View Stereo	Apr 17, 2019	Depth EstimationMulti-View 3D Reconstruction	—Unverified
Recurrent Neural Network for (Un-)supervised Learning of Monocular VideoVisual Odometry and Depth	Apr 15, 2019	Depth EstimationMULTI-VIEW LEARNING	CodeCode Available
PIV-Based 3D Fluid Flow Reconstruction Using Light Field Camera	Apr 15, 2019	Depth EstimationOptical Flow Estimation	—Unverified
Multi-View Stereo by Temporal Nonparametric Fusion	Apr 12, 2019	DecoderDepth Estimation	CodeCode Available
Absolute Human Pose Estimation with Depth Prediction Network	Apr 11, 2019	3D Human Pose EstimationDepth Estimation	CodeCode Available
Learning Single Camera Depth Estimation using Dual-Pixels	Apr 11, 2019	Depth EstimationMonocular Depth Estimation	CodeCode Available
Depth from Videos in the Wild: Unsupervised Monocular Depth Learning from Unknown Cameras	Apr 10, 2019	Depth EstimationDepth Prediction	CodeCode Available
Non-Lambertian Surface Shape and Reflectance Reconstruction Using Concentric Multi-Spectral Light Field	Apr 9, 2019	Depth Estimation	—Unverified
Learning Across Tasks and Domains	Apr 9, 2019	Depth EstimationDomain Adaptation	CodeCode Available
Learning monocular depth estimation infusing traditional stereo knowledge	Apr 8, 2019	Depth EstimationImage Generation	CodeCode Available
Visualization of Convolutional Neural Networks for Monocular Depth Estimation	Apr 6, 2019	Depth EstimationInterpretable Machine Learning	CodeCode Available
Learning to Adapt for Stereo	Apr 5, 2019	Autonomous DrivingDepth Estimation	CodeCode Available
Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation	Apr 3, 2019	Depth EstimationDepth Prediction	CodeCode Available
CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth	Apr 3, 2019	3D Depth EstimationDepth Estimation	CodeCode Available
Defogging Kinect: Simultaneous Estimation of Object Region and Depth in Foggy Scenes	Apr 1, 2019	3D ReconstructionDepth Estimation	—Unverified

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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