SOTAVerified

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

Showing 151175 of 242 papers

TitleStatusHype
Vis2Mesh: Efficient Mesh Reconstruction from Unstructured Point Clouds of Large Scenes with Learned Virtual View VisibilityCode1
BIDCD -- Bosch Industrial Depth Completion Dataset0
RigNet: Repetitive Image Guided Network for Depth Completion0
SuperCaustics: Real-time, open-source simulation of transparent objects for deep learning applicationsCode1
DVMN: Dense Validity Mask Network for Depth Completion0
PDC: Piecewise Depth Completion utilizing Superpixels0
SGTBN: Generating Dense Depth Maps from Single-Line LiDAR0
Deterministic Guided LiDAR Depth Map Completion0
Learning Topology from Synthetic Data for Unsupervised Depth CompletionCode1
An Adaptive Framework for Learning Unsupervised Depth CompletionCode1
Radar-Camera Pixel Depth Association for Depth CompletionCode0
Self-Guided Instance-Aware Network for Depth Completion and Enhancement0
Enabling 3D Object Detection with a Low-Resolution LiDAR0
A Surface Geometry Model for LiDAR Depth CompletionCode1
Depth Completion using Plane-Residual Representation0
Depth Completion with Twin Surface Extrapolation at Occlusion BoundariesCode1
RGB-D Local Implicit Function for Depth Completion of Transparent ObjectsCode1
Bayesian Deep Basis Fitting for Depth Completion with Uncertainty0
Volumetric Propagation Network: Stereo-LiDAR Fusion for Long-Range Depth Estimation0
PENet: Towards Precise and Efficient Image Guided Depth CompletionCode1
LEAD: LiDAR Extender for Autonomous Driving0
Multi-Task Multi-Sensor Fusion for 3D Object Detection0
Learning Joint 2D-3D Representations for Depth Completion0
Boosting Monocular Depth Estimation with Lightweight 3D Point Fusion0
FCFR-Net: Feature Fusion based Coarse-to-Fine Residual Learning for Depth Completion0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SparseConvsRMSE1,601Unverified
2NConv-CNNRMSE1,268Unverified
3VOICEDRMSE1,169.97Unverified
4ScaffNet-FusionNetRMSE1,121.93Unverified
5KBNetRMSE1,069.47Unverified
6Spade-sDRMSE1,035Unverified
7HMS-NetRMSE937Unverified
8Spade-RGBsDRMSE918Unverified
9NConv-CNN-L1RMSE859Unverified
10NConv-CNN-L2RMSE830Unverified
#ModelMetricClaimedVerifiedStatus
1SS-S2DMAE178.85Unverified
2DDPMAE151.86Unverified
3VOICEDMAE85.05Unverified
4ScaffNet-FusionNetMAE59.53Unverified
5KBNetMAE39.8Unverified
6NLSPNMAE26.74Unverified
#ModelMetricClaimedVerifiedStatus
1Struct-MDCRMSE0.14Unverified
2DSNRMSE0.1Unverified
3NLSPNRMSE0.09Unverified
#ModelMetricClaimedVerifiedStatus
1SA+SSIM+BCRMSE1.09Unverified
2DM-LRN-b4RMSE1Unverified
#ModelMetricClaimedVerifiedStatus
1FusionDepthRMSE1,193.92Unverified
#ModelMetricClaimedVerifiedStatus
1CFCNetRMSE 2.96Unverified
#ModelMetricClaimedVerifiedStatus
1DSNREL0.02Unverified
#ModelMetricClaimedVerifiedStatus
1Struct-MDCMAE1,170.3Unverified
#ModelMetricClaimedVerifiedStatus
1Struct-MDCMAE111.33Unverified