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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 61–70 of 101 papers

TitleStatusHype
MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling—0
CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections—0
CP-Net: Contour-Perturbed Reconstruction Network for Self-Supervised Point Cloud Learning—0
MultiPull: Detailing Signed Distance Functions by Pulling Multi-Level Queries at Multi-Step—0
SC-NeRF: NeRF-based Point Cloud Reconstruction using a Stationary Camera for Agricultural Applications—0
Constrained Diffusion Implicit Models—0
NURBS-Diff: A Differentiable Programming Module for NURBS—0
Automatic Reverse Engineering: Creating computer-aided design (CAD) models from multi-view images—0
On Linear Structure From Motion for Light Field Cameras—0
Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors—0
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