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 451–475 of 2454 papers

Title	Date	Tasks	Status	Hype	Score
DevNet: Self-supervised Monocular Depth Learning via Density Volume Construction	Sep 14, 2022	Depth Estimation	CodeCode Available	1	5
Image Masking for Robust Self-Supervised Monocular Depth Estimation	Oct 5, 2022	Autonomous DrivingDepth Estimation	CodeCode Available	1	5
Aligning Generative Denoising with Discriminative Objectives Unleashes Diffusion for Visual Perception	Apr 15, 2025	Data AugmentationDenoising	CodeCode Available	1	5
HR-Depth: High Resolution Self-Supervised Monocular Depth Estimation	Dec 14, 2020	Depth EstimationMonocular Depth Estimation	CodeCode Available	1	5
Less is More: Consistent Video Depth Estimation with Masked Frames Modeling	Jul 31, 2022	Depth EstimationOptical Flow Estimation	CodeCode Available	1	5
Deep Two-View Structure-from-Motion Revisited	Apr 1, 2021	3D ReconstructionDepth Estimation	CodeCode Available	1	5
On Point Affiliation in Feature Upsampling	Jul 17, 2023	DecoderDepth Estimation	CodeCode Available	1	5
DeepVideoMVS: Multi-View Stereo on Video with Recurrent Spatio-Temporal Fusion	Dec 3, 2020	DecoderDepth Estimation	CodeCode Available	1	5
LightedDepth: Video Depth Estimation in Light of Limited Inference View Angles	Jan 1, 2023	Depth EstimationMonocular Depth Estimation	CodeCode Available	1	5
IDA-3D: Instance-Depth-Aware 3D Object Detection From Stereo Vision for Autonomous Driving	Jun 1, 2020	3D Object DetectionAutonomous Driving	CodeCode Available	1	5
Maximizing Self-supervision from Thermal Image for Effective Self-supervised Learning of Depth and Ego-motion	Jan 12, 2022	Depth EstimationSelf-Supervised Learning	CodeCode Available	1	5
DeFeat-Net: General Monocular Depth via Simultaneous Unsupervised Representation Learning	Mar 30, 2020	Depth EstimationMonocular Depth Estimation	CodeCode Available	1	5
Bidirectional Attention Network for Monocular Depth Estimation	Sep 1, 2020	Depth EstimationMachine Translation	CodeCode Available	1	5
DEFLOW: Self-supervised 3D Motion Estimation of Debris Flow	Apr 5, 2023	Autonomous DrivingDepth Estimation	CodeCode Available	1	5
Can Language Understand Depth?	Jul 3, 2022	Depth Estimationimage-classification	CodeCode Available	1	5
BiFuse: Monocular 360 Depth Estimation via Bi-Projection Fusion	Jun 1, 2020	Depth Estimation	CodeCode Available	1	5
Depth Map Decomposition for Monocular Depth Estimation	Aug 23, 2022	Depth EstimationMonocular Depth Estimation	CodeCode Available	1	5
BiFuse++: Self-supervised and Efficient Bi-projection Fusion for 360 Depth Estimation	Sep 7, 2022	Depth EstimationMonocular Depth Estimation	CodeCode Available	1	5
Overcoming the Distance Estimation Bottleneck in Estimating Animal Abundance with Camera Traps	May 1, 2022	Depth EstimationMonocular Depth Estimation	CodeCode Available	1	5
Implicit Integration of Superpixel Segmentation into Fully Convolutional Networks	Mar 5, 2021	Depth EstimationMonocular Depth Estimation	CodeCode Available	1	5
Learning to Fuse Monocular and Multi-view Cues for Multi-frame Depth Estimation in Dynamic Scenes	Apr 18, 2023	Autonomous DrivingDepth Estimation	CodeCode Available	1	5
Always Clear Depth: Robust Monocular Depth Estimation under Adverse Weather	May 18, 2025	Autonomous DrivingDepth Estimation	CodeCode Available	1	5
Bird's-Eye-View Panoptic Segmentation Using Monocular Frontal View Images	Aug 6, 2021	Depth EstimationPanoptic Segmentation	CodeCode Available	1	5
Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with Self-Supervised Depth Estimation	Aug 28, 2021	Data AugmentationDepth Estimation	CodeCode Available	1	5
DepthLab: Real-Time 3D Interaction With Depth Maps for Mobile Augmented Reality	Oct 22, 2020	Depth And Camera MotionDepth Estimation	CodeCode Available	1	5

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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