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 251–275 of 2454 papers

Title	Date	Tasks	Status	Hype	Score
GIVT: Generative Infinite-Vocabulary Transformers	Dec 4, 2023	Conditional Image GenerationDecoder	CodeCode Available	1	5
Digging into contrastive learning for robust depth estimation with diffusion models	Apr 15, 2024	Contrastive LearningDenoising	CodeCode Available	1	5
Absolute distance prediction based on deep learning object detection and monocular depth estimation models	Nov 2, 2021	Depth EstimationMonocular Depth Estimation	CodeCode Available	1	5
Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells	Oct 25, 2018	Depth EstimationDepth Prediction	CodeCode Available	1	5
Deeper into Self-Supervised Monocular Indoor Depth Estimation	Dec 3, 2023	Depth EstimationMonocular Depth Estimation	CodeCode Available	1	5
Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks	Jan 31, 2023	Adversarial RobustnessAutonomous Driving	CodeCode Available	1	5
Deep Multi-view Depth Estimation with Predicted Uncertainty	Nov 19, 2020	Depth EstimationOptical Flow Estimation	CodeCode Available	1	5
FDCT: Fast Depth Completion for Transparent Objects	Jul 23, 2023	Autonomous DrivingDepth Completion	CodeCode Available	1	5
AudioEar: Single-View Ear Reconstruction for Personalized Spatial Audio	Jan 30, 2023	Depth Estimation	CodeCode Available	1	5
A-TVSNet: Aggregated Two-View Stereo Network for Multi-View Stereo Depth Estimation	Mar 2, 2020	Depth EstimationStereo Depth Estimation	CodeCode Available	1	5
Efficient Attention: Attention with Linear Complexities	Dec 4, 2018	Depth EstimationExtractive Text Summarization	CodeCode Available	1	5
Deeper Depth Prediction with Fully Convolutional Residual Networks	Jun 1, 2016	Depth EstimationDepth Prediction	CodeCode Available	1	5
Aberration-Aware Depth-from-Focus	Mar 8, 2023	Depth Estimation	CodeCode Available	1	5
Deep Multi-View Stereo gone wild	Apr 30, 2021	Depth EstimationDepth Prediction	CodeCode Available	1	5
Fast-MVSNet: Sparse-to-Dense Multi-View Stereo With Learned Propagation and Gauss-Newton Refinement	Mar 29, 2020	Depth Estimation	CodeCode Available	1	5
Deep Depth Estimation from Thermal Image: Dataset, Benchmark, and Challenges	Mar 28, 2025	Depth EstimationStereo Depth Estimation	CodeCode Available	1	5
Deep Depth Estimation from Visual-Inertial SLAM	Jul 31, 2020	Depth EstimationSimultaneous Localization and Mapping	CodeCode Available	1	5
Excavating the Potential Capacity of Self-Supervised Monocular Depth Estimation	Sep 26, 2021	Data AugmentationDepth Estimation	CodeCode Available	1	5
Attention-based View Selection Networks for Light-field Disparity Estimation	Feb 7, 2020	Depth EstimationDisparity Estimation	CodeCode Available	1	5
A benchmark with decomposed distribution shifts for 360 monocular depth estimation	Dec 1, 2021	Depth EstimationMonocular Depth Estimation	CodeCode Available	1	5
EVP: Enhanced Visual Perception using Inverse Multi-Attentive Feature Refinement and Regularized Image-Text Alignment	Dec 13, 2023	DecoderDepth Estimation	CodeCode Available	1	5
Expediting Large-Scale Vision Transformer for Dense Prediction without Fine-tuning	Oct 3, 2022	ClusteringDepth Estimation	CodeCode Available	1	5
Bridging Spectral-wise and Multi-spectral Depth Estimation via Geometry-guided Contrastive Learning	Mar 2, 2025	Autonomous VehiclesContrastive Learning	CodeCode Available	1	5
Event-based Stereo Depth Estimation from Ego-motion using Ray Density Fusion	Oct 17, 2022	Depth EstimationStereo Depth Estimation	CodeCode Available	1	5
Attention Attention Everywhere: Monocular Depth Prediction with Skip Attention	Oct 17, 2022	DecoderDepth 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