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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–125 of 242 papers

TitleStatusHype
WonderTurbo: Generating Interactive 3D World in 0.72 Seconds—0
DistillGrasp: Integrating Features Correlation with Knowledge Distillation for Depth Completion of Transparent Objects—0
360ORB-SLAM: A Visual SLAM System for Panoramic Images with Depth Completion Network—0
3dDepthNet: Point Cloud Guided Depth Completion Network for Sparse Depth and Single Color Image—0
Enabling 3D Object Detection with a Low-Resolution LiDAR—0
Aggregating Feature Point Cloud for Depth Completion—0
All-day Depth Completion—0
All-day Depth Completion via Thermal-LiDAR Fusion—0
A Low Memory Footprint Quantized Neural Network for Depth Completion of Very Sparse Time-of-Flight Depth Maps—0
BadDepth: Backdoor Attacks Against Monocular Depth Estimation in the Physical World—0
Balanced Depth Completion between Dense Depth Inference and Sparse Range Measurements via KISS-GP—0
Bayesian Deep Basis Fitting for Depth Completion with Uncertainty—0
Benchmarking Robustness of AI-Enabled Multi-sensor Fusion Systems: Challenges and Opportunities—0
BEV@DC: Bird's-Eye View Assisted Training for Depth Completion—0
BIDCD -- Bosch Industrial Depth Completion Dataset—0
Boosting Monocular Depth Estimation with Lightweight 3D Point Fusion—0
Towards 3D Scene Reconstruction from Locally Scale-Aligned Monocular Video Depth—0
Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion—0
Confidence Guided Depth Completion Network—0
CPSeg: Cluster-free Panoptic Segmentation of 3D LiDAR Point Clouds—0
CSPN++: Learning Context and Resource Aware Convolutional Spatial Propagation Networks for Depth Completion—0
DCIRNet: Depth Completion with Iterative Refinement for Dexterous Grasping of Transparent and Reflective Objects—0
Decoder Modulation for Indoor Depth Completion—0
Decomposed Guided Dynamic Filters for Efficient RGB-Guided Depth Completion—0
DeCoTR: Enhancing Depth Completion with 2D and 3D Attentions—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