SOTAVerified

Point cloud reconstruction

This task aims to solve inherent problems in raw point clouds: sparsity, noise, and irregularity.

Papers

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Showing 76–100 of 101 papers

TitleStatusHype
Self-Distillation for Unsupervised 3D Domain Adaptation—0
Self-Supervised Point Cloud Registration with Deep Versatile Descriptors—0
SPACE: 3D Spatial Co-operation and Exploration Framework for Robust Mapping and Coverage with Multi-Robot Systems—0
StairNetV3: Depth-aware Stair Modeling using Deep Learning—0
StarNet: Style-Aware 3D Point Cloud Generation—0
Visual Enhanced 3D Point Cloud Reconstruction from A Single Image—0
3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point Cloud Reconstruction from a Single ImageCode0
Robustifying Generalizable Implicit Shape Networks with a Tunable Non-Parametric ModelCode0
Tensorformer: Normalized Matrix Attention Transformer for High-quality Point Cloud ReconstructionCode0
Self-Attention Amortized Distributional Projection Optimization for Sliced Wasserstein Point-Cloud ReconstructionCode0
CAPNet: Continuous Approximation Projection For 3D Point Cloud Reconstruction Using 2D SupervisionCode0
BloomScene: Lightweight Structured 3D Gaussian Splatting for Crossmodal Scene GenerationCode0
Set Prediction without Imposing Structure as Conditional Density EstimationCode0
Silhouette Guided Point Cloud Reconstruction beyond OcclusionCode0
ObitoNet: Multimodal High-Resolution Point Cloud ReconstructionCode0
Learning Local Pattern Modularization for Point Cloud Reconstruction from Unseen ClassesCode0
MPED: Quantifying Point Cloud Distortion based on Multiscale Potential Energy DiscrepancyCode0
PointInverter: Point Cloud Reconstruction and Editing via a Generative Model with Shape PriorsCode0
Learnable Chamfer Distance for Point Cloud ReconstructionCode0
SO-Net: Self-Organizing Network for Point Cloud AnalysisCode0
AIM2PC: Aerial Image to 3D Building Point Cloud ReconstructionCode0
Dense 3D Point Cloud Reconstruction Using a Deep Pyramid NetworkCode0
PU-MFA : Point Cloud Up-sampling via Multi-scale Features AttentionCode0
Pyramid Multi-view Stereo Net with Self-adaptive View AggregationCode0
Few-shot point cloud reconstruction and denoising via learned Guassian splats renderings and fine-tuned diffusion featuresCode0
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