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
Depth-SIMS: Semi-Parametric Image and Depth Synthesis—0
Next-Best-View Prediction for Active Stereo Cameras and Highly Reflective Objects—0
TransCG: A Large-Scale Real-World Dataset for Transparent Object Depth Completion and a Grasping BaselineCode0
Confidence Guided Depth Completion Network—0
Towards 3D Scene Reconstruction from Locally Scale-Aligned Monocular Video Depth—0
GuideFormer: Transformers for Image Guided Depth Completion—0
Learning Robust Image-Based Rendering on Sparse Scene Geometry via Depth Completion—0
Robust Depth Completion with Uncertainty-Driven Loss Functions—0
Sparse Depth Completion with Semantic Mesh Deformation Optimization—0
CPSeg: Cluster-free Panoptic Segmentation of 3D LiDAR Point Clouds—0
Self-Supervised Depth Completion for Active Stereo—0
Seeing Glass: Joint Point Cloud and Depth Completion for Transparent Objects—0
DenseLiDAR: A Real-Time Pseudo Dense Depth Guided Depth Completion Network—0
BIDCD -- Bosch Industrial Depth Completion Dataset—0
RigNet: Repetitive Image Guided Network for Depth Completion—0
DVMN: Dense Validity Mask Network for Depth Completion—0
PDC: Piecewise Depth Completion utilizing Superpixels—0
SGTBN: Generating Dense Depth Maps from Single-Line LiDAR—0
Deterministic Guided LiDAR Depth Map Completion—0
Radar-Camera Pixel Depth Association for Depth CompletionCode0
Self-Guided Instance-Aware Network for Depth Completion and Enhancement—0
Enabling 3D Object Detection with a Low-Resolution LiDAR—0
Depth Completion using Plane-Residual Representation—0
Bayesian Deep Basis Fitting for Depth Completion with Uncertainty—0
Volumetric Propagation Network: Stereo-LiDAR Fusion for Long-Range Depth Estimation—0
LEAD: LiDAR Extender for Autonomous Driving—0
Learning Joint 2D-3D Representations for Depth Completion—0
Multi-Task Multi-Sensor Fusion for 3D Object Detection—0
Boosting Monocular Depth Estimation with Lightweight 3D Point Fusion—0
FCFR-Net: Feature Fusion based Coarse-to-Fine Residual Learning for Depth Completion—0
Depth Completion using Piecewise Planar Model—0
Efficient Depth Completion Using Learned Bases—0
Multi-task GANs for Semantic Segmentation and Depth Completion with Cycle Consistency—0
Robust Autonomous Landing of UAV in Non-Cooperative Environments based on Dynamic Time Camera-LiDAR Fusion—0
SelfDeco: Self-Supervised Monocular Depth Completion in Challenging Indoor Environments—0
On Deep Learning Techniques to Boost Monocular Depth Estimation for Autonomous Navigation—0
Depth Completion via Inductive Fusion of Planar LIDAR and Monocular Camera—0
SSGP: Sparse Spatial Guided Propagation for Robust and Generic Interpolation—0
Depth Completion with RGB Prior—0
Balanced Depth Completion between Dense Depth Inference and Sparse Range Measurements via KISS-GP—0
Project to Adapt: Domain Adaptation for Depth Completion from Noisy and Sparse Sensor Data—0
Sparse-to-Dense Depth Completion Revisited: Sampling Strategy and Graph Construction—0
Adaptive LiDAR Sampling and Depth Completion using Ensemble VarianceCode0
Deformable spatial propagation network for depth completion—0
DepthNet: Real-Time LiDAR Point Cloud Depth Completion for Autonomous VehiclesCode0
Discontinuous and Smooth Depth Completion with Binary Anisotropic Diffusion Tensor—0
From Depth What Can You See? Depth Completion via Auxiliary Image Reconstruction—0
Decoder Modulation for Indoor Depth Completion—0
Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A Review—0
3dDepthNet: Point Cloud Guided Depth Completion Network for Sparse Depth and Single Color Image—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