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 51–100 of 242 papers

TitleStatusHype
An Adaptive Framework for Learning Unsupervised Depth CompletionCode1
A Surface Geometry Model for LiDAR Depth CompletionCode1
Depth Completion with Twin Surface Extrapolation at Occlusion BoundariesCode1
RGB-D Local Implicit Function for Depth Completion of Transparent ObjectsCode1
PENet: Towards Precise and Efficient Image Guided Depth CompletionCode1
Adaptive Context-Aware Multi-Modal Network for Depth CompletionCode1
Non-Local Spatial Propagation Network for Depth CompletionCode1
Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to EndCode1
Scene Completeness-Aware Lidar Depth Completion for Driving ScenarioCode1
Aerial Single-View Depth Completion with Image-Guided Uncertainty EstimationCode1
DidSee: Diffusion-Based Depth Completion for Material-Agnostic Robotic Perception and Manipulation—0
DCIRNet: Depth Completion with Iterative Refinement for Dexterous Grasping of Transparent and Reflective Objects—0
SR3D: Unleashing Single-view 3D Reconstruction for Transparent and Specular Object Grasping—0
HTMNet: A Hybrid Network with Transformer-Mamba Bottleneck Multimodal Fusion for Transparent and Reflective Objects Depth Completion—0
BadDepth: Backdoor Attacks Against Monocular Depth Estimation in the Physical World—0
Event-Driven Dynamic Scene Depth Completion—0
Depth Anything with Any Prior—0
All-day Depth Completion via Thermal-LiDAR Fusion—0
WonderTurbo: Generating Interactive 3D World in 0.72 Seconds—0
DenseFormer: Learning Dense Depth Map from Sparse Depth and Image via Conditional Diffusion Model—0
Vanishing Depth: A Depth Adapter with Positional Depth Encoding for Generalized Image EncodersCode0
Pow3R: Empowering Unconstrained 3D Reconstruction with Camera and Scene Priors—0
GAA-TSO: Geometry-Aware Assisted Depth Completion for Transparent and Specular Objects—0
ProtoDepth: Unsupervised Continual Depth Completion with Prototypes—0
Learning Inverse Laplacian Pyramid for Progressive Depth Completion—0
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