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 181–190 of 242 papers

Title	Date	Tasks	Status
Depth Coefficients for Depth Completion	Mar 13, 2019	Depth Completionobject-detection	—Unverified
Depth Completion from Sparse LiDAR Data with Depth-Normal Constraints	Oct 15, 2019	Autonomous DrivingDecoder	—Unverified
Depth Completion using Piecewise Planar Model	Dec 6, 2020	Depth Completionmodel	—Unverified
Depth Completion using Plane-Residual Representation	Apr 15, 2021	Depth CompletionDepth Estimation	—Unverified
Depth Completion via Deep Basis Fitting	Dec 21, 2019	Depth Completion	—Unverified
Depth Completion via Inductive Fusion of Planar LIDAR and Monocular Camera	Sep 3, 2020	Autonomous DrivingDepth Completion	—Unverified
Depth Completion with Multiple Balanced Bases and Confidence for Dense Monocular SLAM	Sep 8, 2023	Depth Completion	—Unverified
Depth Completion with RGB Prior	Aug 18, 2020	Depth Completion	—Unverified
DepthLab: From Partial to Complete	Dec 24, 2024	Depth CompletionMissing Values	—Unverified
Depth-SIMS: Semi-Parametric Image and Depth Synthesis	Mar 7, 2022	Depth CompletionImage Generation	—Unverified

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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