Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling
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arXiv
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| Auteurs principaux: | , , , , , , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866909469580984320 |
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| author | Chen, Xiaokang Wu, Zhiyu Liu, Xingchao Pan, Zizheng Liu, Wen Xie, Zhenda Yu, Xingkai Ruan, Chong |
| author_facet | Chen, Xiaokang Wu, Zhiyu Liu, Xingchao Pan, Zizheng Liu, Wen Xie, Zhenda Yu, Xingkai Ruan, Chong |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_17811 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling Chen, Xiaokang Wu, Zhiyu Liu, Xingchao Pan, Zizheng Liu, Wen Xie, Zhenda Yu, Xingkai Ruan, Chong Artificial Intelligence Computation and Language Computer Vision and Pattern Recognition 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. |
| title | Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling |
| topic | Artificial Intelligence Computation and Language Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2501.17811 |