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Inverse cooking: recipe generation from food images

Author
Salvador, A.; Drozdzal, M.; Giro, X.; Romeroa, A.
Type of activity
Presentation of work at congresses
Name of edition
2019 IEEE Conference on Computer Vision and Pattern Recognition
Date of publication
2019
Presentation's date
2019-06-20
Book of congress proceedings
CVPR 2019: Conference on Computer Vision and Pattern Recognition: Long Beach, CA: June 16-20, 2019
First page
10453
Last page
10462
Publisher
Computer Vision Foundation
Project funding
Heterogeneous information and graph signal processing for the Big Data era. Application to high-throughput, remote sensing, multimedia and human computer interfaces
Multimodal Signal Processing and Machine Learning on Graphs
Repository
http://hdl.handle.net/2117/166916 Open in new window
URL
http://openaccess.thecvf.com/content_CVPR_2019/html/Salvador_Inverse_Cooking_Recipe_Generation_From_Food_Images_CVPR_2019_paper.html Open in new window
Abstract
People enjoy food photography because they appreciate food. Behind each meal there is a story described in a complex recipe and, unfortunately, by simply looking at a food image we do not have access to its preparation process. Therefore, in this paper we introduce an inverse cooking system that recreates cooking recipes given food images. Our system predicts ingredients as sets by means of a novel architecture, modeling their dependencies without imposing any order, and then generates cooking i...
Citation
Salvador, A. [et al.]. Inverse cooking: recipe generation from food images. A: IEEE Conference on Computer Vision and Pattern Recognition. "CVPR 2019: Conference on Computer Vision and Pattern Recognition: Long Beach, CA: June 16-20, 2019". Computer Vision Foundation, 2019, p. 10453-10462.
Keywords
Cooking, Generative models, Recipe, im2recipe
Group of research
GPI - Image and Video Processing Group
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center

Participants