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 31–40 of 101 papers

TitleStatusHype
DG-PIC: Domain Generalized Point-In-Context Learning for Point Cloud Understanding—0
Bone marrow sparing for cervical cancer radiotherapy on multimodality medical images—0
3DMambaComplete: Exploring Structured State Space Model for Point Cloud Completion—0
Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering—0
Deep Point Cloud Reconstruction—0
CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections—0
Automatic Reverse Engineering: Creating computer-aided design (CAD) models from multi-view images—0
GarmentGS: Point-Cloud Guided Gaussian Splatting for High-Fidelity Non-Watertight 3D Garment Reconstruction—0
CP-Net: Contour-Perturbed Reconstruction Network for Self-Supervised Point Cloud Learning—0
Argus: Leveraging Multiview Images for Improved 3-D Scene Understanding With Large Language Models—0
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