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 171–180 of 242 papers

Title	Date	Tasks	Status
LEAD: LiDAR Extender for Autonomous Driving	Feb 16, 2021	Autonomous DrivingDepth Completion	—Unverified
Multi-Task Multi-Sensor Fusion for 3D Object Detection	Dec 22, 2020	3D Object DetectionDepth Completion	—Unverified
Learning Joint 2D-3D Representations for Depth Completion	Dec 22, 2020	Depth Completion	—Unverified
Boosting Monocular Depth Estimation with Lightweight 3D Point Fusion	Dec 18, 2020	Depth CompletionDepth Estimation	—Unverified
FCFR-Net: Feature Fusion based Coarse-to-Fine Residual Learning for Depth Completion	Dec 15, 2020	Depth Completion	—Unverified
Depth Completion using Piecewise Planar Model	Dec 6, 2020	Depth Completionmodel	—Unverified
Efficient Depth Completion Using Learned Bases	Dec 2, 2020	Depth Completion	—Unverified
Multi-task GANs for Semantic Segmentation and Depth Completion with Cycle Consistency	Nov 29, 2020	Autonomous DrivingDepth Completion	—Unverified
Robust Autonomous Landing of UAV in Non-Cooperative Environments based on Dynamic Time Camera-LiDAR Fusion	Nov 27, 2020	Depth Completion	—Unverified
SelfDeco: Self-Supervised Monocular Depth Completion in Challenging Indoor Environments	Nov 10, 2020	Depth Completion	—Unverified

Show:10 25 50

← PrevPage 18 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