Retrieval augmented recipe generation

• Main Authors: LIU, Guoshan, YIN, Hailong, ZHU, Bin, CHEN, Jingjing, NGO, Chong-wah, JIANG, Yu-Gang
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2025
• Subjects: Retrieval augmented generation; recipe generation; Large Multi-modal Model; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/9824; https://ink.library.smu.edu.sg/context/sis_research/article/10824/viewcontent/WACV_2025_Author_Kit_RARG.pdf
• Institution: Singapore Management University

The growing interest in generating recipes from food images has drawn substantial research attention in recent years. Existing works for recipe generation primarily utilize a two-stage training method—first predicting ingredients from a food image and then generating instructions from both the image...