RecipeGen: A Benchmark for Real-World Recipe Image Generation
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arXiv
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| Main Authors: | , , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866929746317672448 |
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| author | Zhang, Ruoxuan Xie, Hongxia Yao, Yi Jiang-Lin, Jian-Yu Wen, Bin Lo, Ling Shuai, Hong-Han Li, Yung-Hui Cheng, Wen-Huang |
| author_facet | Zhang, Ruoxuan Xie, Hongxia Yao, Yi Jiang-Lin, Jian-Yu Wen, Bin Lo, Ling Shuai, Hong-Han Li, Yung-Hui Cheng, Wen-Huang |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_05228 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | RecipeGen: A Benchmark for Real-World Recipe Image Generation Zhang, Ruoxuan Xie, Hongxia Yao, Yi Jiang-Lin, Jian-Yu Wen, Bin Lo, Ling Shuai, Hong-Han Li, Yung-Hui Cheng, Wen-Huang Computer Vision and Pattern Recognition 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. |
| title | RecipeGen: A Benchmark for Real-World Recipe Image Generation |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2503.05228 |