论文信息与摘要（原文）

原文标题：Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling arXiv：2501.17811（v1）　方向：第三批 多模态前沿：理解、生成与世界建模

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Xiaokang Chen, Zhiyu Wu, Xingchao Liu, Zizheng Pan, Wen Liu, Zhenda Xie, Xingkai Yu, Chong Ruan DeepSeek-AI Project Page: https://github.com/deepseek-ai/Janus

Abstract

In this work, we introduce Janus-Pro, an advanced version of the previous work Janus. Specifically, Janus-Pro incorporates (1) an optimized training strategy, (2) expanded training data, and (3) scaling to larger model size. With these improvements, Janus-Pro achieves significant advancements in both multimodal understanding and text-to-image instruction-following capabilities, while also enhancing the stability of text-to-image generation. We hope this work will inspire further exploration in the field. Code and models are publicly available.