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 76–100 of 242 papers

TitleStatusHype
GAC-Net_Geometric and attention-based Network for Depth Completion—0
ViKIENet: Towards Efficient 3D Object Detection with Virtual Key Instance Enhanced Network—0
Distilling Monocular Foundation Model for Fine-grained Depth Completion—0
Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion—0
DepthLab: From Partial to Complete—0
Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion—0
UnCLe: Unsupervised Continual Learning of Depth Completion—0
Deep Cost Ray Fusion for Sparse Depth Video Completion—0
Optical Flow Matters: an Empirical Comparative Study on Fusing Monocular Extracted Modalities for Better Steering—0
SDformer: Efficient End-to-End Transformer for Depth CompletionCode0
DistillGrasp: Integrating Features Correlation with Knowledge Distillation for Depth Completion of Transparent Objects—0
SMORE: Simultaneous Map and Object REconstruction—0
Temporal Lidar Depth Completion—0
All-day Depth Completion—0
Transparent Object Depth Completion—0
RGB Guided ToF Imaging System: A Survey of Deep Learning-based Methods—0
Progressive Depth Decoupling and Modulating for Flexible Depth CompletionCode0
Masked Spatial Propagation Network for Sparsity-Adaptive Depth RefinementCode0
Invisible Stitch: Generating Smooth 3D Scenes with Depth Inpainting—0
InFusion: Inpainting 3D Gaussians via Learning Depth Completion from Diffusion Prior—0
NeSLAM: Neural Implicit Mapping and Self-Supervised Feature Tracking With Depth Completion and DenoisingCode0
SAID-NeRF: Segmentation-AIDed NeRF for Depth Completion of Transparent Objects—0
Tri-Perspective View Decomposition for Geometry-Aware Depth Completion—0
DeCoTR: Enhancing Depth Completion with 2D and 3D Attentions—0
Learning Pixel-wise Continuous Depth Representation via Clustering for Depth Completion—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