The ambition of the i-Code project is to build integrative and composable multimodal Artificial Intelligence. The "i" stands for integrative multimodal learning.
-
i-Code V1: i-Code: An Integrative and Composable Multimodal Learning Framework. AAAI 2023, paper link.
-
i-Code V2: i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data. Paper link.
-
i-Code V3 (CoDi): Any-to-Any Generation via Composable Diffusion, paper link.
-
i-Code Studio: A Configurable and Composable Framework for Integrative AI, paper link.
- i-Code Doc (UDOP): Unifying Vision, Text, and Layout for Universal Document Processing. CVPR 2023 Highlight, paper link.
- [MM-Reasoner] MM-Reasoner: A Multi-Modal Knowledge-Aware Framework for Knowledge-Based Visual Question Answering. EMNLP 2023 Findings.
This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.
When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.
This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.
This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.