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 151–200 of 242 papers

TitleStatusHype
DidSee: Diffusion-Based Depth Completion for Material-Agnostic Robotic Perception and Manipulation—0
Discontinuous and Smooth Depth Completion with Binary Anisotropic Diffusion Tensor—0
Distilling Monocular Foundation Model for Fine-grained Depth Completion—0
Don't Forget The Past: Recurrent Depth Estimation from Monocular Video—0
DVMN: Dense Validity Mask Network for Depth Completion—0
Efficient Depth Completion Using Learned Bases—0
Event-Driven Dynamic Scene Depth Completion—0
FCFR-Net: Feature Fusion based Coarse-to-Fine Residual Learning for Depth Completion—0
FIS-Nets: Full-image Supervised Networks for Monocular Depth Estimation—0
Flexible Depth Completion for Sparse and Varying Point Densities—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
SR3D: Unleashing Single-view 3D Reconstruction for Transparent and Specular Object Grasping—0
SSGP: Sparse Spatial Guided Propagation for Robust and Generic Interpolation—0
SuperPrimitive: Scene Reconstruction at a Primitive Level—0
Tabletop Transparent Scene Reconstruction via Epipolar-Guided Optical Flow with Monocular Depth Completion Prior—0
Temporal Lidar Depth Completion—0
To complete or to estimate, that is the question: A Multi-Task Approach to Depth Completion and Monocular Depth Estimation—0
Towards Multimodal Multitask Scene Understanding Models for Indoor Mobile Agents—0
TransNet: Category-Level Transparent Object Pose Estimation—0
TransNet: Transparent Object Manipulation Through Category-Level Pose Estimation—0
Transparent Object Depth Completion—0
Tri-Perspective View Decomposition for Geometry-Aware Depth Completion—0
TSAR-MVS: Textureless-aware Segmentation and Correlative Refinement Guided Multi-View Stereo—0
UAMD-Net: A Unified Adaptive Multimodal Neural Network for Dense Depth Completion—0
Uncertainty depth estimation with gated images for 3D reconstruction—0
UnCLe: Unsupervised Continual Learning of Depth Completion—0
ViKIENet: Towards Efficient 3D Object Detection with Virtual Key Instance Enhanced Network—0
VioLA: Aligning Videos to 2D LiDAR Scans—0
Volumetric Propagation Network: Stereo-LiDAR Fusion for Long-Range Depth Estimation—0
ProtoDepth: Unsupervised Continual Depth Completion with Prototypes—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