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 101–150 of 242 papers

TitleStatusHype
BEV@DC: Bird's-Eye View Assisted Training for Depth Completion—0
PanDepth: Joint Panoptic Segmentation and Depth CompletionCode1
Sparse SPN: Depth Completion from Sparse Keypoints—0
Sparsity Agnostic Depth CompletionCode1
DesNet: Decomposed Scale-Consistent Network for Unsupervised Depth Completion—0
GraphCSPN: Geometry-Aware Depth Completion via Dynamic GCNsCode1
Segmentation-guided Domain Adaptation for Efficient Depth Completion—0
Non-learning Stereo-aided Depth Completion under Mis-projection via Selective Stereo Matching—0
DELTAR: Depth Estimation from a Light-weight ToF Sensor and RGB Image—0
Towards Multimodal Multitask Scene Understanding Models for Indoor Mobile Agents—0
MIPI 2022 Challenge on RGB+ToF Depth Completion: Dataset and ReportCode0
FCDSN-DC: An Accurate and Lightweight Convolutional Neural Network for Stereo Estimation with Depth CompletionCode0
M^2-3DLaneNet: Exploring Multi-Modal 3D Lane Detection—0
SemSegDepth: A Combined Model for Semantic Segmentation and Depth CompletionCode1
Spacecraft depth completion based on the gray image and the sparse depth map—0
Learning an Efficient Multimodal Depth Completion ModelCode1
TransNet: Category-Level Transparent Object Pose Estimation—0
Towards Domain-agnostic Depth CompletionCode1
MetaComp: Learning to Adapt for Online Depth Completion—0
SparseFormer: Attention-based Depth Completion Network—0
A Low Memory Footprint Quantized Neural Network for Depth Completion of Very Sparse Time-of-Flight Depth Maps—0
Deep Depth Completion from Extremely Sparse Data: A Survey—0
Struct-MDC: Mesh-Refined Unsupervised Depth Completion Leveraging Structural Regularities from Visual SLAMCode1
SemAttNet: Towards Attention-based Semantic Aware Guided Depth CompletionCode1
UAMD-Net: A Unified Adaptive Multimodal Neural Network for Dense Depth Completion—0
Monitored Distillation for Positive Congruent Depth CompletionCode1
Depth Completion using Geometry-Aware EmbeddingCode1
RGB-Depth Fusion GAN for Indoor Depth Completion—0
Multi-Modal Masked Pre-Training for Monocular Panoramic Depth CompletionCode0
Sparse Fuse Dense: Towards High Quality 3D Detection with Depth CompletionCode2
ClearPose: Large-scale Transparent Object Dataset and BenchmarkCode1
Depth-Independent Depth Completion via Least Square Estimation—0
Depth-SIMS: Semi-Parametric Image and Depth Synthesis—0
Next-Best-View Prediction for Active Stereo Cameras and Highly Reflective Objects—0
Dynamic Spatial Propagation Network for Depth CompletionCode2
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
Dense Depth Priors for Neural Radiance Fields from Sparse Input ViewsCode1
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
Advancing Self-supervised Monocular Depth Learning with Sparse LiDARCode1
LiDARTouch: Monocular metric depth estimation with a few-beam LiDARCode1
DenseLiDAR: A Real-Time Pseudo Dense Depth Guided Depth Completion Network—0
Unsupervised Depth Completion with Calibrated Backprojection LayersCode1
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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