RecipeGen: A Benchmark for Real-World Recipe Image Generation

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.

Publication Details

Journal
ArXiv.org
Published
2025-03-07
Primary Topic
Generative Adversarial Networks and Image Synthesis
Type
article
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article

RecipeGen: A Benchmark for Real-World Recipe Image Generation

ArXiv.org
Generative Adversarial Networks and Image Synthesis
article

RecipeGen: A Benchmark for Real-World Recipe Image Generation

article en

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.

ArXiv.org
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Openalex Percentile: Top 50%
Generative Adversarial Networks and Image Synthesis
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RecipeGen: A Benchmark for Real-World Recipe Image Generation · ArXiv.org (2025) | TGRS Research Map | TGRS