Project i-Code

The ambition of the i-Code project is to build integrative and composable multimodal Artificial Intelligence. The "i" stands for integrative multimodal learning.

Multimodal Foundation Models

• 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.

Multimodal Document Intelligence

• i-Code Doc (UDOP): Unifying Vision, Text, and Layout for Universal Document Processing. CVPR 2023 Highlight, paper link.

Knowledge-Based Visual Question Answering

• [MM-Reasoner] MM-Reasoner: A Multi-Modal Knowledge-Aware Framework for Knowledge-Based Visual Question Answering. EMNLP 2023 Findings.

Contributing

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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.

Trademarks

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