SOTAVerified

Point cloud reconstruction

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

Papers

Showing 2130 of 101 papers

TitleStatusHype
Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and ClassificationCode1
Cross-modal Learning for Image-Guided Point Cloud Shape CompletionCode1
3D Surface Reconstruction From Multi-Date Satellite ImagesCode1
PointMixer: MLP-Mixer for Point Cloud UnderstandingCode1
Autoregressive 3D Shape Generation via Canonical MappingCode1
Local and Global Point Cloud Reconstruction for 3D Hand Pose EstimationCode1
Through the Looking Glass: Neural 3D Reconstruction of Transparent ShapesCode1
Dense Hybrid Recurrent Multi-view Stereo Net with Dynamic Consistency CheckingCode1
Masked Surfel Prediction for Self-Supervised Point Cloud LearningCode1
AIM2PC: Aerial Image to 3D Building Point Cloud ReconstructionCode0
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