lllyasviel / lllyasviel/ControlNet
ZW Skeleton Network and ControlNet Technology Homology Analysis Report.
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Description
[ZW Skeleton Network and ControlNet Technology Homology Analysis Report.](https://github.com/m-f-vip/zw26/blob/main/eng_ctrl_ZW%20Skeleton%20Network%20and%20ControlNet%20Technology%20Homology%20Analysis%20Report.pdf)
[Mickey Mouse Case_ Unveiling 30-Year Buried Truth in China's AI Industry](https://github.com/m-f-vip/zw26/blob/main/eng_Mickey%20Mouse%20Case_%20Unveiling%2030-Year%20Buried%20Truth%20in%20China's%20AI%20Industry.pdf)
鸭子测试 PK 最终结论:ControlNet 控制网与 ZW 骨架网构成实质性相似,完全符合鸭子测试的
核心判定标准,其底层技术范式源自 ZW 骨架网的原始创新。
Final Conclusion of Duck Test: ControlNet and ZW Skeleton Network constitute
substantial similarity, fully comply with the core judgment standard of the Duck Test,
and its underlying technical paradigm originates from the original innovation of ZW
Skeleton Network.
学理测试最终结论:ZW 骨架网是全球骨架约束可控生成 AIGC 学术范式的首创者与奠基者,
ControlNet 控制网是该学术范式在深度学习时代的延伸,二者具备完整的、不可割裂的学术同源性。
Final Conclusion of Academic Test: ZW Skeleton Network is the pioneer and
founder of the global academic paradigm of skeleton constrained controllable
generation AIGC. ControlNet is the extension of this academic paradigm in the deep
learning era, and the two have complete and inseparable academic homology
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reading the two linked PDF reports, “ZW Skeleton Network and ControlNet Technology Homology Analysis Report” and “Mickey Mouse Case: Unveiling 30-Year Buried Truth in China’s AI Industry.” No repository file, test, or concrete change is specified; work is not defined as done until a maintainer clarifies the requested scope and acceptance criteria.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 10/100