{"id":25394137,"url":"https://github.com/zjowowen/funcgenfoil","last_synced_at":"2025-10-04T05:58:28.027Z","repository":{"id":277722791,"uuid":"933131030","full_name":"zjowowen/FuncGenFoil","owner":"zjowowen","description":"Airfoil Generation and Editing Model in Function Space","archived":false,"fork":false,"pushed_at":"2025-08-13T09:42:24.000Z","size":7383,"stargazers_count":3,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-09-04T04:54:24.240Z","etag":null,"topics":["function-space-modeling","generative-ai","generative-design","machine-learning"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/zjowowen.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2025-02-15T08:08:23.000Z","updated_at":"2025-08-13T09:42:27.000Z","dependencies_parsed_at":"2025-03-25T08:32:29.099Z","dependency_job_id":"5fbd8c17-5a37-4cb4-9cd9-4ae51f19fc30","html_url":"https://github.com/zjowowen/FuncGenFoil","commit_stats":null,"previous_names":["zjowowen/funcgenfoil"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/zjowowen/FuncGenFoil","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zjowowen%2FFuncGenFoil","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zjowowen%2FFuncGenFoil/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zjowowen%2FFuncGenFoil/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zjowowen%2FFuncGenFoil/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/zjowowen","download_url":"https://codeload.github.com/zjowowen/FuncGenFoil/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zjowowen%2FFuncGenFoil/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":278272336,"owners_count":25959524,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-10-04T02:00:05.491Z","response_time":63,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["function-space-modeling","generative-ai","generative-design","machine-learning"],"created_at":"2025-02-15T18:59:39.971Z","updated_at":"2025-10-04T05:58:27.981Z","avatar_url":"https://github.com/zjowowen.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# FuncGenFoil: Airfoil Generation and Editing Model in Function Space\n    \n[![FuncGenFoil Preprint](http://img.shields.io/badge/paper-arxiv.2502.10712-B31B1B.svg)](https://arxiv.org/abs/2502.10712)\n[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)\n\nEnglish | [简体中文(Simplified Chinese)](https://github.com/zjowowen/FuncGenFoil/blob/main/README.zh.md)\n\n**FuncGenFoil**, short for Function-Space Generated Airfoil, is a method for generating airfoils using generative models in function space, such as diffusion models or flow models. This library provides a framework to demonstrate the power of generative models in design and optimization.\n\n\n## Outline\n\n- [FuncGenFoil: Airfoil Generation and Editing Model in Function Space](#funcgenfoil-airfoil-generation-and-editing-model-in-function-space)\n  - [Outline](#outline)\n  - [Framework](#framework)\n  - [Installation](#installation)\n  - [Quick Start](#quick-start)\n  - [Citation](#citation)\n  - [License](#license)\n\n## Framework\n\nDemonstration of airfoil generation model training and inference in function space.\n\u003cp align=\"center\"\u003e\n  \u003cimg src=\"assets/airfoil_generation.png\" alt=\"airfoil generation model training and inference\" width=\"100%\" height=\"auto\" style=\"margin: 0 1%;\"\u003e\n\u003c/p\u003e\n\nDemonstration of airfoil editing model training and inference in function space.\n\u003cp align=\"center\"\u003e\n  \u003cimg src=\"assets/airfoil_editing.png\" alt=\"airfoil editing model training and inference\" width=\"100%\" height=\"auto\" style=\"margin: 0 1%;\"\u003e\n\u003c/p\u003e\n\n## Installation\n\nPlease install from source:\n\n```bash\ngit clone https://github.com/zjowowen/FuncGenFoil.git\ncd FuncGenFoil\npip install -e .\n```\n\n## Quick Start\n\nHere is an example of how to train a airfoil generative flow model in function space.\n\nDownload dataset from [here](https://drive.google.com/drive/folders/1LU6p-TeWpH5b1Vvh2GRv_TwetHkyV8jZ?usp=sharing) and save it in the current directory.\n\nTo train the model without conditional information:\n```bash\npython examples/train_unconditional_airfoil_generation.py\n```\n\nTo train the model with conditional information:\n```bash\npython examples/train_conditional_airfoil_generation.py\n```\n\nTo train the model for airfoil editing:\n```bash\npython examples/train_airfoil_editing.py\n```\n\nTo evaluate the model for airfoil generation with super-resolution:\n```bash\npython examples/eval_airfoil_generation_super_resolution.py\n```\n\nTo evaluate airfoil generation and editing using Gradio:\n```bash\npip install gradio\npython app.py\n```\n\n## Citation\n\nIf you find this work useful, please consider citing:\n\n```latex\n@misc{zhang2025funcgenfoilairfoilgenerationediting,\n      title={FuncGenFoil: Airfoil Generation and Editing Model in Function Space}, \n      author={Jinouwen Zhang and Junjie Ren and Aobo Yang and Yan Lu and Lu Chen and Hairun Xie and Jing Wang and Miao Zhang and Wanli Ouyang and Shixiang Tang},\n      year={2025},\n      eprint={2502.10712},\n      archivePrefix={arXiv},\n      primaryClass={cs.LG},\n      url={https://arxiv.org/abs/2502.10712}, \n}\n```\n\n## License\n\nFuncGenFoil is licensed under the Apache License 2.0. See [LICENSE](LICENSE) for more details.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzjowowen%2Ffuncgenfoil","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fzjowowen%2Ffuncgenfoil","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzjowowen%2Ffuncgenfoil/lists"}