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Point cloud reconstruction

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

Papers

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Showing 51–60 of 101 papers

TitleStatusHype
Learning Local Pattern Modularization for Point Cloud Reconstruction from Unseen ClassesCode0
DG-PIC: Domain Generalized Point-In-Context Learning for Point Cloud Understanding—0
3DMambaComplete: Exploring Structured State Space Model for Point Cloud Completion—0
APC2Mesh: Bridging the gap from occluded building façades to full 3D models—0
Few-shot point cloud reconstruction and denoising via learned Guassian splats renderings and fine-tuned diffusion featuresCode0
PSS-BA: LiDAR Bundle Adjustment with Progressive Spatial Smoothing—0
GEM3D: GEnerative Medial Abstractions for 3D Shape Synthesis—0
DiffPoint: Single and Multi-view Point Cloud Reconstruction with ViT Based Diffusion Model—0
Headset: Human emotion awareness under partial occlusions multimodal dataset—0
Learnable Chamfer Distance for Point Cloud ReconstructionCode0
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