Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling

In this episode, we discuss Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling by The authors of the paper are: - Xiaokang Chen - Zhiyu Wu - Xingchao Liu - Zizheng Pan - Wen Liu - Zhenda Xie - Xingkai Yu - Chong Ruan. The paper introduces Janus-Pro, an enhanced version of the original Janus model that features an optimized training strategy, expanded training data, and a larger model size. These improvements lead to significant advancements in multimodal understanding, text-to-image instruction-following capabilities, and the stability of text-to-image generation. Additionally, the authors have made the code and models publicly available to encourage further research and exploration in the field.

There are no comments yet.

Please log in to write the first comment.