【图像去噪】论文精读:Zero-Shot Blind-spot Image Denoising via Implicit Neural Sampling

请先看【专栏介绍文章】:【图像去噪(Image Denoising)】关于【图像去噪】专栏的相关说明,包含适配人群、专栏简介、专栏亮点、阅读方法、定价理由、品质承诺、关于更新、去噪概述、文章目录、资料汇总、问题汇总(更新中)

文章目录

  • 前言
  • Abstract
  • 1. Introduction
    • 1.1. Learning denoising NN without truth images
    • 1.2. Discussions on blind-spot denoising
    • 1.3. Main idea
    • 1.4. Contributions
  • 2. Related Work
  • 3. Method
    • 3.1. Risk analysis of linear blind-spot denoiser
    • 3.2. Zero-shot blind-spot denoising
    • 3.3. Summary
  • 4. Experiment
    • 4.1. NN architecture for denoising NN and INR
    • 4.2. Experiment configurations
    • 4.3. Evaluation on denoising real-world images
    • 4.4. Ablation Study
  • 5. Conclusion


前言

论文题目:Zero-Shot Blind-spot Image Denoising via Implicit Neural Sampling —— 基于隐式神经采样的零样本盲点图像去噪

论文地址:Zero-Shot Blind-spot Image Denoising via Implicit Neural Sampling

论文源码:https://github.com/cszhengtx/ZywOo

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