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
ProtoDepth: Unsupervised Continual Depth Completion with Prototypes—0
RDFC-GAN: RGB-Depth Fusion CycleGAN for Indoor Depth Completion—0
RGB-Depth Fusion GAN for Indoor Depth Completion—0
RGB Guided ToF Imaging System: A Survey of Deep Learning-based Methods—0
RigNet++: Semantic Assisted Repetitive Image Guided Network for Depth Completion—0
RigNet: Repetitive Image Guided Network for Depth Completion—0
Robust Autonomous Landing of UAV in Non-Cooperative Environments based on Dynamic Time Camera-LiDAR Fusion—0
Robust Depth Completion with Uncertainty-Driven Loss Functions—0
SAID-NeRF: Segmentation-AIDed NeRF for Depth Completion of Transparent Objects—0
S&CNet: Monocular Depth Completion for Autonomous Systems and 3D Reconstruction—0
Seeing Glass: Joint Point Cloud and Depth Completion for Transparent Objects—0
Segmentation-guided Domain Adaptation for Efficient Depth Completion—0
SelfDeco: Self-Supervised Monocular Depth Completion in Challenging Indoor Environments—0
Self-Guided Instance-Aware Network for Depth Completion and Enhancement—0
Self-Supervised Depth Completion for Active Stereo—0
Self-Supervised Depth Completion Guided by 3D Perception and Geometry Consistency—0
SGTBN: Generating Dense Depth Maps from Single-Line LiDAR—0
SimpleMapping: Real-Time Visual-Inertial Dense Mapping with Deep Multi-View Stereo—0
SMORE: Simultaneous Map and Object REconstruction—0
Spacecraft depth completion based on the gray image and the sparse depth map—0
Sparse and Dense Data with CNNs: Depth Completion and Semantic Segmentation—0
Sparse Depth Completion with Semantic Mesh Deformation Optimization—0
SparseFormer: Attention-based Depth Completion Network—0
Sparse SPN: Depth Completion from Sparse Keypoints—0
Sparse-to-Dense Depth Completion Revisited: Sampling Strategy and Graph Construction—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