AI RESEARCH
UniCanvas: A Diffusion-base Unified Model for Text-in-Image Joint Generation
arXiv CS.CV
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ArXi:2606.04264v1 Announce Type: new Recent years have seen remarkable progress in unified vision-language models handling both multimodal understanding and generation within a single architecture. While autoregressive VLMs can reason across modalities, they fail to generate high-quality images. In contrast, diffusion models produce photorealistic visuals yet struggle to generate coherent text, making it challenging to develop a single unified model that can seamlessly handle both visual and text generation.