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 51–60 of 101 papers

TitleStatusHype
Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors—0
Constrained Diffusion Implicit Models—0
CP-Net: Contour-Perturbed Reconstruction Network for Self-Supervised Point Cloud Learning—0
CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections—0
Deep Point Cloud Reconstruction—0
Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering—0
DG-PIC: Domain Generalized Point-In-Context Learning for Point Cloud Understanding—0
Differentiable Spline Approximations—0
DiffPoint: Single and Multi-view Point Cloud Reconstruction with ViT Based Diffusion Model—0
DiffS-NOCS: 3D Point Cloud Reconstruction through Coloring Sketches to NOCS Maps Using Diffusion Models—0
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