4 citations · 5 across the 3 of their papers we have counts for
5 papers
Multi-attribute Pizza Generator: Cross-domain Attribute Control with Conditional StyleGAN
Fangda Han, Guoyao Hao, Ricardo Guerrero +1
Multi-attribute conditional image generation is a challenging problem in computervision. We propose Multi-attribute Pizza Generator (MPG), a conditional Generative Neural Network (…
MPG: A Multi-ingredient Pizza Image Generator with Conditional StyleGANs
Fangda Han, Guoyao Hao, Ricardo Guerrero +1
Multilabel conditional image generation is a challenging problem in computer vision. In this work we propose Multi-ingredient Pizza Generator (MPG), a conditional Generative Neural…
Picture-to-Amount (PITA): Predicting Relative Ingredient Amounts from Food Images
Jiatong Li, Fangda Han, Ricardo Guerrero +1
Increased awareness of the impact of food consumption on health and lifestyle today has given rise to novel data-driven food analysis systems. Although these systems may recognize…
CookGAN: Meal Image Synthesis from Ingredients
Fangda Han, Ricardo Guerrero, Vladimir Pavlovic
In this work we propose a new computational framework, based on generative deep models, for synthesis of photo-realistic food meal images from textual list of its ingredients. Prev…
The Art of Food: Meal Image Synthesis from Ingredients
Fangda Han, Ricardo Guerrero, Vladimir Pavlovic
In this work we propose a new computational framework, based on generative deep models, for synthesis of photo-realistic food meal images from textual descriptions of its ingredien…