English

RecipeGen: A Benchmark for Real-World Recipe Image Generation

Computer Vision and Pattern Recognition 2025-03-10 v1

Abstract

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 in https://github.com/zhangdaxia22/RecipeGen.

Keywords

Cite

@article{arxiv.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}
}
R2 v1 2026-06-28T22:10:27.123Z