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 351–375 of 2454 papers

Title	Date	Tasks	Status	Hype
All in Tokens: Unifying Output Space of Visual Tasks via Soft Token	Jan 5, 2023	AllDepth Estimation	CodeCode Available	1
LightedDepth: Video Depth Estimation in Light of Limited Inference View Angles	Jan 1, 2023	Depth EstimationMonocular Depth Estimation	CodeCode Available	1
Trap Attention: Monocular Depth Estimation With Manual Traps	Jan 1, 2023	DecoderDepth Estimation	CodeCode Available	1
Depth Estimation From Indoor Panoramas With Neural Scene Representation	Jan 1, 2023	Depth EstimationPosition	CodeCode Available	1
CL-MVSNet: Unsupervised Multi-View Stereo with Dual-Level Contrastive Learning	Jan 1, 2023	3D geometryContrastive Learning	CodeCode Available	1
Energy-Efficient Adaptive 3D Sensing	Jan 1, 2023	Depth EstimationStereo Depth Estimation	CodeCode Available	1
OmniVidar: Omnidirectional Depth Estimation From Multi-Fisheye Images	Jan 1, 2023	Depth Estimation	CodeCode Available	1
Self-supervised Monocular Underwater Depth Recovery, Image Restoration, and a Real-sea Video Dataset	Jan 1, 2023	Depth EstimationDisentanglement	CodeCode Available	1
MaskingDepth: Masked Consistency Regularization for Semi-supervised Monocular Depth Estimation	Dec 21, 2022	Data AugmentationDepth Estimation	CodeCode Available	1
Scene-aware Egocentric 3D Human Pose Estimation	Dec 20, 2022	3D Human Pose EstimationDepth Estimation	CodeCode Available	1
DAG: Depth-Aware Guidance with Denoising Diffusion Probabilistic Models	Dec 17, 2022	DenoisingDepth Estimation	CodeCode Available	1
Are We Ready for Vision-Centric Driving Streaming Perception? The ASAP Benchmark	Dec 17, 2022	Autonomous DrivingDepth Estimation	CodeCode Available	1
Towards Practical Plug-and-Play Diffusion Models	Dec 12, 2022	Depth EstimationImage Generation	CodeCode Available	1
Mind The Edge: Refining Depth Edges in Sparsely-Supervised Monocular Depth Estimation	Dec 10, 2022	Depth EstimationMonocular Depth Estimation	CodeCode Available	1
Multi-resolution Monocular Depth Map Fusion by Self-supervised Gradient-based Composition	Dec 3, 2022	Depth EstimationMonocular Depth Estimation	CodeCode Available	1
BEV-LGKD: A Unified LiDAR-Guided Knowledge Distillation Framework for BEV 3D Object Detection	Dec 1, 2022	3D Object DetectionAutonomous Driving	CodeCode Available	1
Self-Supervised Surround-View Depth Estimation with Volumetric Feature Fusion	Nov 29, 2022	Autonomous DrivingDepth Estimation	CodeCode Available	1
3DPPE: 3D Point Positional Encoding for Multi-Camera 3D Object Detection Transformers	Nov 27, 2022	3D Object DetectionDecoder	CodeCode Available	1
AeDet: Azimuth-invariant Multi-view 3D Object Detection	Nov 22, 2022	3D Object DetectionDepth Estimation	CodeCode Available	1
The Monocular Depth Estimation Challenge	Nov 22, 2022	Depth EstimationMonocular Depth Estimation	CodeCode Available	1
A Practical Stereo Depth System for Smart Glasses	Nov 19, 2022	CPUDepth Estimation	CodeCode Available	1
BEVDistill: Cross-Modal BEV Distillation for Multi-View 3D Object Detection	Nov 17, 2022	3D Object DetectionDepth Estimation	CodeCode Available	1
LightDepth: A Resource Efficient Depth Estimation Approach for Dealing with Ground Truth Sparsity via Curriculum Learning	Nov 16, 2022	Depth EstimationMonocular Depth Estimation	CodeCode Available	1
RCDPT: Radar-Camera fusion Dense Prediction Transformer	Nov 4, 2022	Depth EstimationMonocular Depth Estimation	CodeCode Available	1
Context-Enhanced Stereo Transformer	Oct 21, 2022	Depth EstimationStereo Depth Estimation	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