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 201–242 of 242 papers

TitleStatusHype
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
From Depth What Can You See? Depth Completion via Auxiliary Image Reconstruction—0
Towards Long-Range 3D Object Detection for Autonomous Vehicles—0
GAA-TSO: Geometry-Aware Assisted Depth Completion for Transparent and Specular Objects—0
GAC-Net_Geometric and attention-based Network for Depth Completion—0
GuideFormer: Transformers for Image Guided Depth Completion—0
HMS-Net: Hierarchical Multi-scale Sparsity-invariant Network for Sparse Depth Completion—0
HTMNet: A Hybrid Network with Transformer-Mamba Bottleneck Multimodal Fusion for Transparent and Reflective Objects Depth Completion—0
Image-Guided Depth Sampling and Reconstruction—0
Improving 3D Object Detection for Pedestrians with Virtual Multi-View Synthesis Orientation Estimation—0
Improving Depth Completion via Depth Feature Upsampling—0
InFusion: Inpainting 3D Gaussians via Learning Depth Completion from Diffusion Prior—0
Invisible Stitch: Generating Smooth 3D Scenes with Depth Inpainting—0
LEAD: LiDAR Extender for Autonomous Driving—0
Learning a Depth Covariance Function—0
Learning Inverse Laplacian Pyramid for Progressive Depth Completion—0
Learning Joint 2D-3D Representations for Depth Completion—0
Learning Pixel-wise Continuous Depth Representation via Clustering for Depth Completion—0
Learning Robust Image-Based Rendering on Sparse Scene Geometry via Depth Completion—0
Depth-Independent Depth Completion via Least Square Estimation—0
Lidar Line Selection with Spatially-Aware Shapley Value for Cost-Efficient Depth Completion—0
LRRU: Long-short Range Recurrent Updating Networks for Depth Completion—0
M^2-3DLaneNet: Exploring Multi-Modal 3D Lane Detection—0
Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion—0
Mask-adaptive Gated Convolution and Bi-directional Progressive Fusion Network for Depth Completion—0
MetaComp: Learning to Adapt for Online Depth Completion—0
MIPI 2022 Challenge on RGB+ToF Depth Completion: Dataset and Report—0
MIPI 2023 Challenge on RGB+ToF Depth Completion: Methods and Results—0
Gated Cross-Attention Network for Depth Completion—0
Multi-task GANs for Semantic Segmentation and Depth Completion with Cycle Consistency—0
Multi-Task Multi-Sensor Fusion for 3D Object Detection—0
Enhancing Depth Completion with Multi-View Monitored Distillation—0
Mutual-Structure for Joint Filtering—0
MVDD: Multi-View Depth Diffusion Models—0
Next-Best-View Prediction for Active Stereo Cameras and Highly Reflective Objects—0
Non-learning Stereo-aided Depth Completion under Mis-projection via Selective Stereo Matching—0
Object Semantics Give Us the Depth We Need: Multi-task Approach to Aerial Depth Completion—0
On Deep Learning Techniques to Boost Monocular Depth Estimation for Autonomous Navigation—0
Optical Flow Matters: an Empirical Comparative Study on Fusing Monocular Extracted Modalities for Better Steering—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