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 176–200 of 2454 papers

Title	Date	Tasks	Status	Hype	Score
altiro3D: Scene representation from single image and novel view synthesis	Apr 2, 2023	Depth EstimationMonocular Depth Estimation	CodeCode Available	1	5
Deep Ordinal Regression Network for Monocular Depth Estimation	Jun 6, 2018	Depth EstimationMonocular Depth Estimation	CodeCode Available	1	5
All in Tokens: Unifying Output Space of Visual Tasks via Soft Token	Jan 5, 2023	AllDepth Estimation	CodeCode Available	1	5
DCDepth: Progressive Monocular Depth Estimation in Discrete Cosine Domain	Oct 19, 2024	Depth EstimationMonocular Depth 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
2.5D Visual Relationship Detection	Apr 26, 2021	BenchmarkingDepth Estimation	CodeCode Available	1	5
Deconstructing Self-Supervised Monocular Reconstruction: The Design Decisions that Matter	Aug 2, 2022	Depth EstimationMonocular Depth Estimation	CodeCode Available	1	5
Does it work outside this benchmark? Introducing the Rigid Depth Constructor tool, depth validation dataset construction in rigid scenes for the masses	Mar 29, 2021	Depth EstimationDepth Prediction	CodeCode Available	1	5
Dual Pixel Exploration: Simultaneous Depth Estimation and Image Restoration	Dec 1, 2020	Depth EstimationImage Restoration	CodeCode Available	1	5
A Light and Tuning-free Method for Simulating Camera Motion in Video Generation	Mar 9, 2025	DenoisingDepth Estimation	CodeCode Available	1	5
Disentangling Object Motion and Occlusion for Unsupervised Multi-frame Monocular Depth	Mar 29, 2022	Depth EstimationDepth Prediction	CodeCode Available	1	5
Disparity Estimation Using a Quad-Pixel Sensor	Sep 1, 2024	Depth EstimationDisparity Estimation	CodeCode Available	1	5
Cylin-Painting: Seamless 360 Panoramic Image Outpainting and Beyond	Apr 18, 2022	Depth EstimationImage Outpainting	CodeCode Available	1	5
AI Playground: Unreal Engine-based Data Ablation Tool for Deep Learning	Jul 13, 2020	Data AblationDepth Estimation	CodeCode Available	1	5
DAG: Depth-Aware Guidance with Denoising Diffusion Probabilistic Models	Dec 17, 2022	DenoisingDepth Estimation	CodeCode Available	1	5
Automated Distance Estimation for Wildlife Camera Trapping	Feb 9, 2022	Depth EstimationMonocular Depth Estimation	CodeCode Available	1	5
A Hybrid Sparse-Dense Monocular SLAM System for Autonomous Driving	Aug 17, 2021	Autonomous DrivingDepth Estimation	CodeCode Available	1	5
DARES: Depth Anything in Robotic Endoscopic Surgery with Self-supervised Vector-LoRA of the Foundation Model	Aug 30, 2024	3D ReconstructionDepth Estimation	CodeCode Available	1	5
Discrete Cosine Transform Network for Guided Depth Map Super-Resolution	Apr 14, 2021	Depth EstimationDepth Map Super-Resolution	CodeCode Available	1	5
CutDepth:Edge-aware Data Augmentation in Depth Estimation	Jul 16, 2021	Data AugmentationDepth Estimation	CodeCode Available	1	5
ACDNet: Adaptively Combined Dilated Convolution for Monocular Panorama Depth Estimation	Dec 29, 2021	3D ReconstructionDepth Estimation	CodeCode Available	1	5
Discrete Time Convolution for Fast Event-Based Stereo	Jan 1, 2022	Depth EstimationStereo Matching	CodeCode Available	1	5
A geometry-aware deep network for depth estimation in monocular endoscopy	Apr 20, 2023	3D ReconstructionAnatomy	CodeCode Available	1	5
A General and Adaptive Robust Loss Function	Jan 11, 2017	ClusteringDepth Estimation	CodeCode Available	1	5
DenseMTL: Cross-task Attention Mechanism for Dense Multi-task Learning	Jun 17, 2022	2D Semantic SegmentationDepth 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