The Beijing Academy of Artificial Intelligence (BAAI) has officially released their new generation multi-modal world model, Emu3. The model's most notable feature is its ability to understand and generate content in text, image, and video modalities solely through predicting the next token.
In terms of image generation, Emu3 can predict and create high-quality images based on visual tokens. This means users can expect flexible resolutions and a variety of styles.
For video generation, Emu3 operates in a novel manner, unlike other models that generate videos through noise, Emu3 directly produces videos by sequential prediction. This technological advancement makes video generation more fluid and natural.
Emu3 outperforms many well-known open-source models, such as SDXL, LLaVA, and OpenSora, in tasks like image generation, video generation, and visual language understanding. Behind it is a powerful visual tokenizer that converts videos and images into discrete tokens, providing a new approach for unified processing of text, images, and videos.
For instance, in image understanding, users only need to input a simple question, and Emu3 can accurately describe the image content.
Emu3 also possesses video prediction capabilities. Given a video, Emu3 can predict what will happen next based on existing content. This makes it highly capable in simulating environments, human, and animal behaviors, providing users with a more authentic interactive experience.
Moreover, Emu3's design flexibility is also noteworthy. It can be directly optimized according to human preferences, making the generated content more in line with user expectations. As an open-source model, Emu3 has attracted significant discussion within the technical community, with many believing that this achievement will revolutionize the landscape of multi-modal AI development.
Project Website: https://emu.baai.ac.cn/about
Paper: https://arxiv.org/pdf/2409.18869
Key Points:
🌟 Emu3 achieves multi-modal understanding and generation of text, images, and videos through next token prediction.
🚀 Emu3 outperforms several well-known open-source models in multiple tasks, showcasing its robust capabilities.
💡 Emu3's flexible design and open-source nature offer new opportunities for developers, potentially driving innovation and development in multi-modal AI.