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

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Showing 76–100 of 242 papers

TitleStatusHype
All-day Depth Completion—0
Deformable spatial propagation network for depth completion—0
BIDCD -- Bosch Industrial Depth Completion Dataset—0
Enabling 3D Object Detection with a Low-Resolution LiDAR—0
BEV@DC: Bird's-Eye View Assisted Training for Depth Completion—0
GAC-Net_Geometric and attention-based Network for Depth Completion—0
Aggregating Feature Point Cloud for Depth Completion—0
Learning Inverse Laplacian Pyramid for Progressive Depth Completion—0
Learning Joint 2D-3D Representations for Depth Completion—0
Learning Pixel-wise Continuous Depth Representation via Clustering for Depth Completion—0
Depth Completion Using a View-constrained Deep Prior—0
From Depth What Can You See? Depth Completion via Auxiliary Image Reconstruction—0
Benchmarking Robustness of AI-Enabled Multi-sensor Fusion Systems: Challenges and Opportunities—0
Bayesian Deep Basis Fitting for Depth Completion with Uncertainty—0
Flexible Depth Completion for Sparse and Varying Point Densities—0
FIS-Nets: Full-image Supervised Networks for Monocular Depth Estimation—0
Towards Long-Range 3D Object Detection for Autonomous Vehicles—0
Deep Depth Completion from Extremely Sparse Data: A Survey—0
GAA-TSO: Geometry-Aware Assisted Depth Completion for Transparent and Specular Objects—0
Deep Cost Ray Fusion for Sparse Depth Video Completion—0
Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A Review—0
DistillGrasp: Integrating Features Correlation with Knowledge Distillation for Depth Completion of Transparent Objects—0
GuideFormer: Transformers for Image Guided Depth Completion—0
FCFR-Net: Feature Fusion based Coarse-to-Fine Residual Learning for Depth Completion—0
Deep Convolutional Compressed Sensing for LiDAR Depth Completion—0
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All datasetsKITTI Depth CompletionVOIDNYU-Depth V2Matterport3DKITTIKITTI Depth Completion 500 pointsKITTI Depth Completion Eigen SplitPLADVOID-150

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SparseConvsRMSE1,601—Unverified
2NConv-CNNRMSE1,268—Unverified
3VOICEDRMSE1,169.97—Unverified
4ScaffNet-FusionNetRMSE1,121.93—Unverified
5KBNetRMSE1,069.47—Unverified
6Spade-sDRMSE1,035—Unverified
7HMS-NetRMSE937—Unverified
8Spade-RGBsDRMSE918—Unverified
9NConv-CNN-L1RMSE859—Unverified
10NConv-CNN-L2RMSE830—Unverified
#ModelMetricClaimedVerifiedStatus
1SS-S2DMAE178.85—Unverified
2DDPMAE151.86—Unverified
3VOICEDMAE85.05—Unverified
4ScaffNet-FusionNetMAE59.53—Unverified
5KBNetMAE39.8—Unverified
6NLSPNMAE26.74—Unverified
#ModelMetricClaimedVerifiedStatus
1Struct-MDCRMSE0.14—Unverified
2DSNRMSE0.1—Unverified
3NLSPNRMSE0.09—Unverified
#ModelMetricClaimedVerifiedStatus
1SA+SSIM+BCRMSE1.09—Unverified
2DM-LRN-b4RMSE1—Unverified
#ModelMetricClaimedVerifiedStatus
1FusionDepthRMSE1,193.92—Unverified
#ModelMetricClaimedVerifiedStatus
1CFCNetRMSE 2.96—Unverified
#ModelMetricClaimedVerifiedStatus
1DSNREL0.02—Unverified
#ModelMetricClaimedVerifiedStatus
1Struct-MDCMAE1,170.3—Unverified
#ModelMetricClaimedVerifiedStatus
1Struct-MDCMAE111.33—Unverified