Depth Completion

The Depth Completion task is a sub-problem of depth estimation. In the sparse-to-dense depth completion problem, one wants to infer the dense depth map of a 3-D scene given an RGB image and its corresponding sparse reconstruction in the form of a sparse depth map obtained either from computational methods such as SfM (Strcuture-from-Motion) or active sensors such as lidar or structured light sensors.

Source: LiStereo: Generate Dense Depth Maps from LIDAR and Stereo Imagery , Unsupervised Depth Completion from Visual Inertial Odometry

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 81–90 of 242 papers

Title	Date	Tasks	Status	Score
AugUndo: Scaling Up Augmentations for Monocular Depth Completion and Estimation	Oct 15, 2023	Data AugmentationDepth Completion	CodeCode Available	5
DFuseNet: Deep Fusion of RGB and Sparse Depth Information for Image Guided Dense Depth Completion	Feb 2, 2019	Depth CompletionSuper-Resolution	CodeCode Available	5
Conf-Net: Toward High-Confidence Dense 3D Point-Cloud with Error-Map Prediction	Jul 23, 2019	Autonomous DrivingDepth Completion	CodeCode Available	5
3D LiDAR and Stereo Fusion using Stereo Matching Network with Conditional Cost Volume Normalization	Apr 5, 2019	Depth CompletionStereo-LiDAR Fusion	CodeCode Available	5
Learning Depth with Convolutional Spatial Propagation Network	Oct 4, 2018	Depth CompletionDepth Estimation	CodeCode Available	5
Adaptive LiDAR Sampling and Depth Completion using Ensemble Variance	Jul 27, 2020	Autonomous VehiclesDepth Completion	CodeCode Available	5
Learning Guided Convolutional Network for Depth Completion	Aug 3, 2019	Autonomous DrivingDepth Completion	CodeCode Available	5
Confidence Propagation through CNNs for Guided Sparse Depth Regression	Nov 5, 2018	Autonomous DrivingDepth Completion	CodeCode Available	5
DepthNet: Real-Time LiDAR Point Cloud Depth Completion for Autonomous Vehicles	Jul 5, 2020	Autonomous DrivingAutonomous Vehicles	CodeCode Available	5
Unsupervised Depth Completion from Visual Inertial Odometry	May 15, 2019	Depth Completion	CodeCode Available	5

Show:10 25 50

← PrevPage 9 of 25Next →

All datasets KITTI Depth Completion VOID NYU-Depth V2 Matterport3D KITTI KITTI Depth Completion 500 points KITTI Depth Completion Eigen Split PLAD VOID-150

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	SparseConvs	RMSE	1,601	—	Unverified
2	NConv-CNN	RMSE	1,268	—	Unverified
3	VOICED	RMSE	1,169.97	—	Unverified
4	ScaffNet-FusionNet	RMSE	1,121.93	—	Unverified
5	KBNet	RMSE	1,069.47	—	Unverified
6	Spade-sD	RMSE	1,035	—	Unverified
7	HMS-Net	RMSE	937	—	Unverified
8	Spade-RGBsD	RMSE	918	—	Unverified
9	NConv-CNN-L1	RMSE	859	—	Unverified
10	NConv-CNN-L2	RMSE	830	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SS-S2D	MAE	178.85	—	Unverified
2	DDP	MAE	151.86	—	Unverified
3	VOICED	MAE	85.05	—	Unverified
4	ScaffNet-FusionNet	MAE	59.53	—	Unverified
5	KBNet	MAE	39.8	—	Unverified
6	NLSPN	MAE	26.74	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Struct-MDC	RMSE	0.14	—	Unverified
2	DSN	RMSE	0.1	—	Unverified
3	NLSPN	RMSE	0.09	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SA+SSIM+BC	RMSE	1.09	—	Unverified
2	DM-LRN-b4	RMSE	1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FusionDepth	RMSE	1,193.92	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CFCNet	RMSE	2.96	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DSN	REL	0.02	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Struct-MDC	MAE	1,170.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Struct-MDC	MAE	111.33	—	Unverified