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 1101–1125 of 2454 papers

Title	Date	Tasks	Status	Hype
Omnimatte3D: Associating Objects and Their Effects in Unconstrained Monocular Video	Jan 1, 2023	Depth Estimation	—Unverified	0
OmniVidar: Omnidirectional Depth Estimation From Multi-Fisheye Images	Jan 1, 2023	Depth Estimation	CodeCode Available	1
Depth Estimation From Camera Image and mmWave Radar Point Cloud	Jan 1, 2023	Depth Estimation	—Unverified	0
Trap Attention: Monocular Depth Estimation With Manual Traps	Jan 1, 2023	DecoderDepth Estimation	CodeCode Available	1
AttEntropy: On the Generalization Ability of Supervised Semantic Segmentation Transformers to New Objects in New Domains	Dec 29, 2022	Depth EstimationObject	CodeCode Available	0
HandsOff: Labeled Dataset Generation With No Additional Human Annotations	Dec 24, 2022	Dataset GenerationDepth Estimation	—Unverified	0
Vision-Based Environmental Perception for Autonomous Driving	Dec 22, 2022	Autonomous DrivingDepth Estimation	—Unverified	0
Shakes on a Plane: Unsupervised Depth Estimation from Unstabilized Photography	Dec 22, 2022	Depth And Camera MotionDepth Estimation	—Unverified	0
Depth Estimation maps of lidar and stereo images	Dec 22, 2022	Depth EstimationStereo Depth Estimation	—Unverified	0
Lightweight Monocular Depth Estimation	Dec 21, 2022	Depth EstimationImage Segmentation	—Unverified	0
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
Solve the Puzzle of Instance Segmentation in Videos: A Weakly Supervised Framework with Spatio-Temporal Collaboration	Dec 15, 2022	Depth EstimationInstance Segmentation	—Unverified	0
Towards Practical Plug-and-Play Diffusion Models	Dec 12, 2022	Depth EstimationImage Generation	CodeCode Available	1
ROIFormer: Semantic-Aware Region of Interest Transformer for Efficient Self-Supervised Monocular Depth Estimation	Dec 12, 2022	Depth EstimationMonocular Depth Estimation	—Unverified	0
Mind The Edge: Refining Depth Edges in Sparsely-Supervised Monocular Depth Estimation	Dec 10, 2022	Depth EstimationMonocular Depth Estimation	CodeCode Available	1
Cross-Domain Synthetic-to-Real In-the-Wild Depth and Normal Estimation for 3D Scene Understanding	Dec 9, 2022	Autonomous DrivingDepth Estimation	—Unverified	0
Objects as Spatio-Temporal 2.5D points	Dec 6, 2022	2D Object DetectionDepth Estimation	—Unverified	0
Event-based Monocular Dense Depth Estimation with Recurrent Transformers	Dec 6, 2022	DecoderDepth Estimation	—Unverified	0
GARF:Geometry-Aware Generalized Neural Radiance Field	Dec 5, 2022	3D geometryDecoder	—Unverified	0
SceneRF: Self-Supervised Monocular 3D Scene Reconstruction with Radiance Fields	Dec 5, 2022	3D Reconstruction3D Scene Reconstruction	CodeCode Available	2
3D Object Aided Self-Supervised Monocular Depth Estimation	Dec 4, 2022	3D Object DetectionAutonomous Driving	—Unverified	0
Multi-resolution Monocular Depth Map Fusion by Self-supervised Gradient-based Composition	Dec 3, 2022	Depth EstimationMonocular 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