Pioneering the future of AI-powered audio-visual content generation
MTVCraft is dedicated to advancing the field of artificial intelligence by developing cutting-edge technology that seamlessly integrates audio and video generation. Our mission is to democratize access to professional-quality content creation tools, making them available to researchers, developers, and creators worldwide.
We believe that open-source collaboration is the key to innovation. By sharing our research, code, and models freely, we empower the global community to build upon our work, push the boundaries of what's possible, and create applications we haven't even imagined yet.
MTVCraft represents a breakthrough in multi-modal AI generation. Our framework uniquely addresses one of the most challenging problems in AI video generation: achieving perfect synchronization between multiple audio streams and visual content.
Published in NeurIPS 2025, our research paper "Audio-Sync Video Generation with Multi-Stream Temporal Control" has been recognized as a significant contribution to the field of generative AI.
MTVCraft is developed by a dedicated team of researchers at BAAI (Beijing Academy of Artificial Intelligence). Our team combines expertise in computer vision, natural language processing, audio synthesis, and machine learning to push the boundaries of what's possible in AI-generated content.
Developing novel algorithms for audio-visual synchronization and multi-modal generation
Building scalable, efficient implementations optimized for research and production use
Supporting users, maintaining documentation, and fostering collaboration
We are firmly committed to open source principles. MTVCraft is released under the Apache 2.0 license, one of the most permissive open-source licenses available. This means:
We believe that scientific progress thrives on collaboration and transparency. By making our work open source, we invite the global community to verify our results, build upon our research, and contribute improvements back to the project.
Since its release, MTVCraft has been adopted by researchers and developers worldwide for a variety of applications:
Universities and research institutions use MTVCraft to explore new frontiers in multi-modal AI, studying everything from audio-visual correspondence to temporal coherence in generated content.
Creators leverage MTVCraft to rapidly prototype video concepts, generate b-roll footage, and experiment with audio-visual compositions that would be time-consuming to produce manually.
Educators use MTVCraft to teach AI concepts, demonstrate multi-modal learning, and provide students with hands-on experience in cutting-edge generative models.
Game developers, filmmakers, and advertisers explore MTVCraft for pre-visualization, storyboarding, and generating reference material for productions.
MTVCraft is a community-driven project, and we welcome contributions from developers, researchers, and enthusiasts around the world. Here's how you can get involved:
Submit pull requests, fix bugs, or add new features
Help us write better documentation and tutorials
Find bugs or suggest improvements on GitHub
Share ideas and help others in the community
Join our growing community and help shape the future of AI video generation