Abstract: Diffusion-based Image Editing models that utilize text prompts and reference images were developed to mitigate the limitations of the text-based image generation models in retaining the ...
Abstract: The fusion of multimodal data in telemedicine diagnosis plays a crucial role in improving diagnostic accuracy and enabling comprehensive analysis. While integrating multimodal pathological ...
In this paper, we design and train a Generative Image-to-text Transformer, GIT, to unify vision-language tasks such as image/video captioning and question answering. While generative models provide a ...
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