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 501–525 of 2454 papers

Title	Date	Tasks	Status	Hype
Estimating Image Depth in the Comics Domain	Oct 7, 2021	Depth EstimationDepth Prediction	CodeCode Available	1
StereoSpike: Depth Learning with a Spiking Neural Network	Sep 28, 2021	Autonomous VehiclesDecoder	CodeCode Available	1
Excavating the Potential Capacity of Self-Supervised Monocular Depth Estimation	Sep 26, 2021	Data AugmentationDepth Estimation	CodeCode Available	1
Improving 360 Monocular Depth Estimation via Non-local Dense Prediction Transformer and Joint Supervised and Self-supervised Learning	Sep 22, 2021	Depth EstimationMonocular Depth Estimation	CodeCode Available	1
Advancing Self-supervised Monocular Depth Learning with Sparse LiDAR	Sep 20, 2021	3D Object DetectionDepth Completion	CodeCode Available	1
RVMDE: Radar Validated Monocular Depth Estimation for Robotics	Sep 11, 2021	Depth EstimationMonocular Depth Estimation	CodeCode Available	1
LiDARTouch: Monocular metric depth estimation with a few-beam LiDAR	Sep 8, 2021	Depth CompletionDepth Estimation	CodeCode Available	1
Pano3D: A Holistic Benchmark and a Solid Baseline for 360^o Depth Estimation	Sep 6, 2021	Depth Estimation	CodeCode Available	1
Dual Transfer Learning for Event-based End-task Prediction via Pluggable Event to Image Translation	Sep 4, 2021	DecoderDepth Estimation	CodeCode Available	1
NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo	Sep 2, 2021	Depth EstimationNeRF	CodeCode Available	1
Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with Self-Supervised Depth Estimation	Aug 28, 2021	Data AugmentationDepth Estimation	CodeCode Available	1
Real-Time Monocular Human Depth Estimation and Segmentation on Embedded Systems	Aug 24, 2021	Collision AvoidanceDecoder	CodeCode Available	1
Bridging Unsupervised and Supervised Depth from Focus via All-in-Focus Supervision	Aug 24, 2021	AllDepth Estimation	CodeCode Available	1
MobileStereoNet: Towards Lightweight Deep Networks for Stereo Matching	Aug 22, 2021	Depth EstimationDisparity Estimation	CodeCode Available	1
Fine-grained Semantics-aware Representation Enhancement for Self-supervised Monocular Depth Estimation	Aug 19, 2021	Depth EstimationMetric Learning	CodeCode Available	1
StructDepth: Leveraging the structural regularities for self-supervised indoor depth estimation	Aug 19, 2021	Depth EstimationMonocular Depth Estimation	CodeCode Available	1
A Hybrid Sparse-Dense Monocular SLAM System for Autonomous Driving	Aug 17, 2021	Autonomous DrivingDepth Estimation	CodeCode Available	1
Self-supervised Monocular Depth Estimation for All Day Images using Domain Separation	Aug 17, 2021	AllDepth Estimation	CodeCode Available	1
Is Pseudo-Lidar needed for Monocular 3D Object detection?	Aug 13, 2021	3D Object DetectionDepth Estimation	CodeCode Available	1
Improving Single-Image Defocus Deblurring: How Dual-Pixel Images Help Through Multi-Task Learning	Aug 11, 2021	DeblurringDepth Estimation	CodeCode Available	1
Multi-Source Fusion and Automatic Predictor Selection for Zero-Shot Video Object Segmentation	Aug 11, 2021	Depth EstimationObject	CodeCode Available	1
Towards Interpretable Deep Networks for Monocular Depth Estimation	Aug 11, 2021	Depth EstimationMonocular Depth Estimation	CodeCode Available	1
Regularizing Nighttime Weirdness: Efficient Self-supervised Monocular Depth Estimation in the Dark	Aug 9, 2021	Depth EstimationImage Enhancement	CodeCode Available	1
Bird's-Eye-View Panoptic Segmentation Using Monocular Frontal View Images	Aug 6, 2021	Depth EstimationPanoptic Segmentation	CodeCode Available	1
Geometry Uncertainty Projection Network for Monocular 3D Object Detection	Jul 29, 2021	3D Object Detection3D Object Detection From Monocular Images	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