Code for TMLR paper "Implicit Neural Representations for Robust Joint Sparse-View CT Reconstruction"

Java basic practice for beginners: reflection

MICCAI 2023: Learning Deep Intensity Field for Extremely Sparse-View CBCT Reconstruction

【MICCAI2023】Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT Images

[IEEE TCI] Self-Supervised Coordinate Projection Network for Sparse-View Computed Tomography

An experimental open-source attempt to make GPT-4 fully autonomous.

Java basic practice for beginners: classloader

Official implantation of: OReX Object Reconstruction from Planar Cross-sections Using Neural Fields

NAISR: A 3D Neural Additive Model for Interpretable Shape Representation

Implicit Neural Representation Learning With Prior Embedding for Sparsely Sampled Image Reconstruction

[ECCV 2022] Official Pytorch implementation of "Injecting 3D Perception of Controllable NeRF-GAN into StyleGAN for Editable Portrait Image Synthesis"

Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

基于SVM的简单机器学习分类，可以使用svm, knn, 朴素贝叶斯，决策树四种机器学习方法进行分类

Motion aware Computed Tomography

饥人谷SpringBoot多人博客平台示例代码

ACORN: Adaptive Coordinate Networks for Neural Scene Representation | SIGGRAPH 2021