Can I read RecipeGen: A Benchmark for Real-World Recipe Image Generation on EtoBox?

RecipeGen: A Benchmark for Real-World Recipe Image Generation by Zhang, Ruoxuan; Xie, Hongxia; Yao, Yi; Jiang-Lin, Jian-Yu; Wen, Bin; Lo, Ling; Shuai, Hong-Han; Li, Yung-Hui; Cheng, Wen-Huang is a scholarly article available to read on EtoBox.

What is RecipeGen: A Benchmark for Real-World Recipe Image Generation about?

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.

Author

Zhang, Ruoxuan; Xie, Hongxia; Yao, Yi; Jiang-Lin, Jian-Yu; Wen, Bin; Lo, Ling; Shuai, Hong-Han; Li, Yung-Hui; Cheng, Wen-Huang

Published

2025

Language

EN