✨Probing Visual Planning in Image Editing Models

📝 Summary:
This paper redefines visual planning as a single-step image transformation using abstract puzzles for evaluation. Their EAR paradigm and AMAZE dataset reveal that current AI models, despite finetuning, cannot match human zero-shot efficiency, highlighting a gap in visual reasoning.

🔹 Publication Date: Published on Apr 23

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.22868
• PDF: https://arxiv.org/pdf/2604.22868
• Project Page: https://spatigen.github.io/amaze.io/
• Github: https://github.com/spatigen/amaze

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#VisualPlanning #ImageEditing #ComputerVision #AIResearch #MachineLearning