Recipe image generation is an important challenge in food computing, with applications from culinary education to interactive recipe platforms. However, there is currently no real-world dataset that comprehensively connects recipe goals, sequential steps, and corresponding images. To address this, we introduce RecipeGen, the first real-world goal-step-image benchmark for recipe generation, featuring diverse ingredients, varied recipe steps, multiple cooking styles, and a broad collection of food categories. Data is inthis https URL.
View on arXiv@article{zhang2025_2503.05228,
title={ RecipeGen: A Benchmark for Real-World Recipe Image Generation },
author={ Ruoxuan Zhang and Hongxia Xie and Yi Yao and Jian-Yu Jiang-Lin and Bin Wen and Ling Lo and Hong-Han Shuai and Yung-Hui Li and Wen-Huang Cheng },
journal={arXiv preprint arXiv:2503.05228},
year={ 2025 }
}