Coherent Zero-Shot Visual Instruction Generation

• URL: http://arxiv.org/abs/2406.04337v2
• Date: Sat, 8 Jun 2024 12:07:32 GMT
• Title: Coherent Zero-Shot Visual Instruction Generation
• Authors: Quynh Phung, Songwei Ge, Jia-Bin Huang,
• Abstract summary: This paper introduces a simple, training-free framework to tackle the issues of generating visual instructions. Our approach systematically integrates text comprehension and image generation to ensure visual instructions are visually appealing. Our experiments show that our approach can visualize coherent and visually pleasing instructions.
• Score: 15.0521272616551
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Despite the advances in text-to-image synthesis, particularly with diffusion models, generating visual instructions that require consistent representation and smooth state transitions of objects across sequential steps remains a formidable challenge. This paper introduces a simple, training-free framework to tackle the issues, capitalizing on the advancements in diffusion models and large language models (LLMs). Our approach systematically integrates text comprehension and image generation to ensure visual instructions are visually appealing and maintain consistency and accuracy throughout the instruction sequence. We validate the effectiveness by testing multi-step instructions and comparing the text alignment and consistency with several baselines. Our experiments show that our approach can visualize coherent and visually pleasing instructions

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