| license: apache-2.0 | |
| tags: | |
| - flow-matching | |
| - diffusion | |
| - generative-ai | |
| - biology | |
| - chemistry | |
| pipeline_tag: other | |
| library_name: pytorch | |
| ## ⚡️ReQFlow: Rectified Quaternion Flow for Efficient and High-Quality Protein Backbone Generation | |
| [](https://arxiv.org/abs/2502.14637)[](https://github.com/AngxiaoYue/ReQFlow)[](https://huggingface.co/AngxiaoYue/ReQFlow/tree/main) | |
| Our **ReQFlow** achieves **state-of-the-art (SOTA)** performance 🎯 in protein backbone generation while requiring significantly fewer sampling steps and substantially reducing inference time. For example, it is **37×** faster than RFDiffusion and **62×** faster than Genie2 when generating a backbone of length 300, demonstrating both its effectiveness and efficiency 🚀🚀🔥. | |
| <p align="center" style="margin-bottom: -2.8px;"> | |
| <img src="assets/scheme_reqflow.png" width="95%"> | |
| </p> | |
| <p align="center" style="margin-top: 1.5px;"> | |
| <img src="assets/prot_vis.png" width="95%"> | |
| </p> | |
| Ready to dive in? We’ve got checkpoints and step-by-step guides to get you inferencing in no time—playtime starts now! ✨ | |
| ## 🚀🚀🔥 | |
| 🔗arxiv link: [https://arxiv.org/abs/2502.14637](https://arxiv.org/abs/2502.14637) | |
| 🌳github link: [https://github.com/AngxiaoYue/ReQFlow](https://github.com/AngxiaoYue/ReQFlow) |