Pre-trained Language Models Do Not Help Auto-regressive Text-to-Image Generation

The paper, presented at the NeurIPS 2023 ICBINB workshop, examines the use of pre-trained language models in text-to-image auto-regressive generation, finding them of limited utility and providing a twofold analysis related to cross-modality tokens.

 Pre-trained Language Models Do Not Help Auto-regressive Text-to-Image Generation

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Recently presented at the ICBINB workshop at NeurIPS 2023, our latest research evaluates the impact of using pre-trained language models for text-to-image generation tasks. The findings indicate that these models have limited utility in creating images from text descriptions, which opens up new avenues for improving AI applications in this area.

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