GitHub

This is the official PyTorch implementation of our paper "Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent with Learned Distance Functions" (CVPR 2023).

Most existing point cloud upsampling methods have roughly three steps: feature extraction, feature expansion and 3D coordinate prediction. However, they usually suffer from two critical issues: (1) ...
IEEE

Point Cloud Denoising Via Momentum Ascent in Gradient Fields

Abstract: To achieve point cloud denoising, traditional methods heavily rely on geometric priors, and most learning-based approaches suffer from outliers and loss of details. Recently, the ...
IEEE

Gradient-Driven Texture-Normalized Liver Tumor Detection Using Deep Learning

Abstract: Prior methods had trouble developing an effective segmentation framework model for detecting liver tumors from CT images, leading to subpar results in terms of both visual appeal and ...
Frontiers

A diagnostic scoring system for differentiating between benign and malignant cystic ovarian tumors, utilizing imaging features and biomarkers

Objective: Our study aims to establish and validate a diagnostic scoring system for distinguishing malignant cystic ovarian tumors (MCOTs) from benign cystic ovarian tumors (BCOTs). Methods: The study ...