kqwang/phase-recovery

• highreadme#1

  Reposition the README H1 and opening paragraph to clarify repo's nature

  原因：

  当前

  # Resources for phase recovery
  # Released from here
  Here, we refer to *“calculating the phase of a light field from 
  its amplitude/intensity measurements”* as phase recovery (PR), which contains many techniques and algorithms, such as holography/interferometry, 
  transport of intensity equation (TIE),  phase retrieval (optimization-based approaches), wavefront sensing, and deep-learning-based approaches.

  复制粘贴的修复

  复制

  # A Curated Collection of Resources for Phase Recovery
  This repository provides a comprehensive, curated collection of resources for phase recovery (also known as phase imaging, phase retrieval, or phase reconstruction). It covers various techniques and algorithms, including holography/interferometry, transport of intensity equation (TIE), optimization-based phase retrieval, wavefront sensing, and deep-learning approaches.

  待办完成忽略
• mediumtopics#2

  Add 'awesome-list' to repository topics

  原因：

  当前

  computational-imaging, deep-learning, holography, interferometry, phase-imaging, phase-reconstruction, phase-recovery, phase-retrieval, ptychography, wavefront-sensing

  复制粘贴的修复

  复制

  computational-imaging, deep-learning, holography, interferometry, phase-imaging, phase-reconstruction, phase-recovery, phase-retrieval, ptychography, wavefront-sensing, awesome-list

  待办完成忽略
• lowabout#3

  Enhance the repository description

  原因：

  当前

  Resources for phase recovery (also called phase imaging, phase retrieval, or phase reconstruction)

  复制粘贴的修复

  复制

  A curated collection of resources for phase recovery (also called phase imaging, phase retrieval, or phase reconstruction), including research papers, academic groups, companies, and workshops.

  待办完成忽略

本次扫描解析到的品类 GEO 通道：google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• 品类问题

  How to reconstruct the phase of a light field from amplitude or intensity measurements?

  你：未被推荐
  AI 推荐顺序：

  1. ePIE
  2. mPIE
  3. Gerchberg-Saxton Algorithm
  4. Fienup Algorithms
  5. Hybrid Input-Output (HIO)
  6. Error Reduction (ER)
  7. Thorlabs
  8. Imagine Optic
  9. Optocraft
  10. Sidewinder
  11. Sagnac

  AI 推荐了 11 个替代方案，却始终没点名 kqwang/phase-recovery。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  What are the best deep learning methods for computational phase imaging and retrieval?

  你：未被推荐
  AI 推荐顺序：

  1. U-Net
  2. Attention U-Net
  3. Residual U-Net
  4. Generative Adversarial Networks (GANs)
  5. Pix2Pix
  6. CycleGAN
  7. Physics-Informed Neural Networks (PINNs)
  8. Deep Image Prior (DIP)
  9. Transformers
  10. Vision Transformer (ViT)
  11. Swin Transformer

  AI 推荐了 11 个替代方案，却始终没点名 kqwang/phase-recovery。这就是要补上的差距。

  查看 AI 完整回答

• Metadata completeness

  pass

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of kqwang/phase-recovery?

  pass
  ⚠AI 未点名 kqwang/phase-recovery —— 很可能在说另一个项目

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• If a team adopts kqwang/phase-recovery in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 kqwang/phase-recovery

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• In one sentence, what problem does the repo kqwang/phase-recovery solve, and who is the primary audience?

  pass
  ✓AI 明确点名了 kqwang/phase-recovery

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？