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 2176–2200 of 2454 papers

Title	Date	Tasks	Status
Camera-Independent Single Image Depth Estimation from Defocus Blur	Nov 21, 2023	Depth EstimationMonocular Depth Estimation	CodeCode Available
Sparse-to-Continuous: Enhancing Monocular Depth Estimation using Occupancy Maps	Sep 24, 2018	Depth EstimationMonocular Depth Estimation	CodeCode Available
Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image	Sep 21, 2017	Depth EstimationDepth Prediction	CodeCode Available
Real-Time Joint Semantic Segmentation and Depth Estimation Using Asymmetric Annotations	Sep 13, 2018	Depth EstimationGPU	CodeCode Available
On the Importance of Stereo for Accurate Depth Estimation: An Efficient Semi-Supervised Deep Neural Network Approach	Mar 26, 2018	Autonomous VehiclesDepth Estimation	CodeCode Available
Generating and Exploiting Probabilistic Monocular Depth Estimates	Jun 13, 2019	Depth CompletionDepth Estimation	CodeCode Available
On the Benefit of Adversarial Training for Monocular Depth Estimation	Oct 29, 2019	Depth EstimationDepth Prediction	CodeCode Available
Sparsity Invariant CNNs	Aug 22, 2017	Depth CompletionDepth Estimation	CodeCode Available
On Robust Cross-View Consistency in Self-Supervised Monocular Depth Estimation	Sep 19, 2022	Depth EstimationMonocular Depth Estimation	CodeCode Available
CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth	Apr 3, 2019	3D Depth EstimationDepth Estimation	CodeCode Available
Reconfigurable Intelligent Surface Aided Wireless Sensing for Scene Depth Estimation	Nov 15, 2022	Depth Estimation	CodeCode Available
CAD2RL: Real Single-Image Flight without a Single Real Image	Nov 13, 2016	3D geometryCollision Avoidance	CodeCode Available
FUSE: Label-Free Image-Event Joint Monocular Depth Estimation via Frequency-Decoupled Alignment and Degradation-Robust Fusion	Mar 25, 2025	Depth EstimationMonocular Depth Estimation	CodeCode Available
WoodScape: A multi-task, multi-camera fisheye dataset for autonomous driving	May 4, 2019	Autonomous DrivingDepth Estimation	CodeCode Available
Recurrent Neural Network for (Un-)supervised Learning of Monocular VideoVisual Odometry and Depth	Apr 15, 2019	Depth EstimationMULTI-VIEW LEARNING	CodeCode Available
Enhanced Encoder-Decoder Architecture for Accurate Monocular Depth Estimation	Oct 15, 2024	3D ReconstructionDecoder	CodeCode Available
Recurrent Scene Parsing with Perspective Understanding in the Loop	May 20, 2017	Depth EstimationMonocular Depth Estimation	CodeCode Available
Density-Regression: Efficient and Distance-Aware Deep Regressor for Uncertainty Estimation under Distribution Shifts	Mar 7, 2024	Depth Estimationregression	CodeCode Available
Dense Scene Reconstruction from Light-Field Images Affected by Rolling Shutter	Dec 4, 2024	Depth Estimation	CodeCode Available
Visualization of Convolutional Neural Networks for Monocular Depth Estimation	Apr 6, 2019	Depth EstimationInterpretable Machine Learning	CodeCode Available
OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching	Aug 17, 2019	DecoderDepth Estimation	CodeCode Available
An Adversarial Generative Network Designed for High-Resolution Monocular Depth Estimation from 2D HiRISE Images of Mars	Aug 15, 2022	Depth EstimationGenerative Adversarial Network	CodeCode Available
Dense 2D-3D Indoor Prediction with Sound via Aligned Cross-Modal Distillation	Sep 20, 2023	3D Scene ReconstructionDepth Estimation	CodeCode Available
Region Deformer Networks for Unsupervised Depth Estimation from Unconstrained Monocular Videos	Feb 26, 2019	Depth Estimation	CodeCode Available
OmniDet: Surround View Cameras based Multi-task Visual Perception Network for Autonomous Driving	Feb 15, 2021	Autonomous DrivingDepth Estimation	CodeCode Available

Show:10 25 50

← PrevPage 88 of 99Next →

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