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kqwang/phase-recovery
默认分支 main · commit ff0a1925 · 扫描时间 2026/6/25 08:28:28
星标 1,211 · Fork 73
下方为分数趋势(含全部就绪扫描;左旧右新,可横向滚动)。表格明细默认折叠,展开后每页 10 条,最新在上。
共 3 条就绪扫描。点击下方按钮展开表格(每页 10 条,可翻页)。
行动计划告诉你下一步要做什么——按影响力排序、可直接复制粘贴的修改。品类可见性是真正的 GEO 测试:当用户向 AI 提一个不带品牌、本应让 kqwang/phase-recovery 浮出水面的问题时,AI 是真的推荐了你,还是推荐了你的竞品?客观检查验证 AI 引擎最先权衡的那些元数据信号。自指检查判断 AI 是否还认识你的名字。
行动计划 — 可复制粘贴的修复
3 条由 gemini-2.5-flash 生成、按优先级排序的修改。修完后请把对应条目标记为完成。
- highreadme#1Reposition the README's opening to clearly state it's a curated resource list
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# A Curated List of Resources for Phase Recovery (Phase Imaging, Phase Retrieval, Phase Reconstruction) This repository provides a comprehensive, curated collection of resources, including papers, groups, companies, and workshops, related to phase recovery. It covers various techniques and algorithms, such as holography/interferometry, transport of intensity equation (TIE), phase retrieval (optimization-based approaches), wavefront sensing, and deep-learning-based approaches.
- mediumreadme#2Explicitly state the repo's value for comparing methods in the README introduction
原因:
复制粘贴的修复This collection is particularly useful for understanding and comparing various approaches, including traditional and deep-learning-based methods for phase recovery.
- mediumtopics#3Add 'awesome-list' and 'resources' to the 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computational-imaging, deep-learning, holography, interferometry, phase-imaging, phase-reconstruction, phase-recovery, phase-retrieval, ptychography, wavefront-sensing, awesome-list, resources
本次扫描解析到的品类 GEO 通道:google/gemini-2.5-flash, deepseek/deepseek-v4-flash
品类可见性 — 真正的 GEO 测试
向 google/gemini-2.5-flash 提出的不带品牌问题。AI 推荐了你,还是推荐了别人?
各模型使用同一组问题 — 切换标签对比回答与排名。
- Gerchberg-Saxton Algorithm · 被推荐 1 次
- Fienup's Hybrid Input-Output (HIO) Algorithm · 被推荐 1 次
- Error Reduction (ER) Algorithm · 被推荐 1 次
- Ptychography · 被推荐 1 次
- ePIE (extended Ptychographical Iterative Engine) · 被推荐 1 次
- 品类问题How to reconstruct the phase of a light field from its measured intensity data?你:未被推荐AI 推荐顺序:
- Gerchberg-Saxton Algorithm
- Fienup's Hybrid Input-Output (HIO) Algorithm
- Error Reduction (ER) Algorithm
- Ptychography
- ePIE (extended Ptychographical Iterative Engine)
- rPIE (reweighted Ptychographical Iterative Engine)
- Transport of Intensity Equation (TIE)
- Digital Holography
- Off-axis Holography
- In-line Holography
- U-Net
- Generative Adversarial Networks (GANs)
- Wigner Distribution Deconvolution
AI 推荐了 13 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Comparing deep learning approaches for computational phase imaging versus traditional methods?你:未被推荐AI 推荐顺序:
- PyTorch
- TensorFlow
- JAX
- DeepMind's Haiku
- Flax
- SciPy
- OpenCV
- MATLAB
- NumPy
- Pillow
AI 推荐了 10 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
客观检查
针对 AI 引擎最看重的元数据信号的规则审计。
- Metadata completenesspass
- README presencepass
自指检查
当被直接问到你时,AI 是否还知道你的仓库存在?
- Compared to common alternatives in this category, what is the core differentiator of kqwang/phase-recovery?passAI 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?
- If a team adopts kqwang/phase-recovery in production, what risks or prerequisites should they evaluate first?passAI 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?passAI 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?
嵌入你的 GEO 徽章
把这个徽章贴进 kqwang/phase-recovery 的 README。每次重新扫描都会自动更新,并跳到最新报告——是「我在乎 AI 可发现性」最简单的公开证明。
[](https://repogeo.com/zh/r/kqwang/phase-recovery)<a href="https://repogeo.com/zh/r/kqwang/phase-recovery"><img src="https://repogeo.com/badge/kqwang/phase-recovery.svg" alt="RepoGEO" /></a>订阅 Pro,解锁深度诊断
kqwang/phase-recovery — 轻量扫描仍免费;本卡列出 Pro 相对轻量的深度额度。
- 深度报告每月 10 次
- 无品牌品类查询5,轻量 2
- 优先行动项8,轻量 3