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Sequence Analysis and Modeling Lab

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Author: Fangda Han

Posted on April 2, 2020April 4, 2020

CookGAN recognized by the CV/ML community

I’m very glad to have our work CookGAN recognized by the CV/ML community SyncedReview on Medium! We are working on building a demo webpage for it.

… Read the rest
Posted on February 24, 2020February 27, 2020

CookGAN: Meal Image Synthesis from Ingredients

Following the previous work that generates meal image from ingredients, we extends it with more experiments in our new paper that has been accepted by WACV 2020.

Paper

Arxiv: https://arxiv.org/abs/2002.11493

  • F. Han, R. Guerrero, and V. Pavlovic, “CookGAN: Meal Image
… Read the rest

Posted on August 11, 2019February 24, 2020

The Art of Food: Meal Image Synthesis from Ingredients

The task is to generate a meal image given a set of ingredients

Fangda Han
2019-08-11

Abstract

In this work we propose a new computational framework, based on generative deep models, for synthesis of photo-realistic food meal images from textual … Read the rest

Recent Posts

  • Spring 2022 – CS536 – Machine Learning
  • Fall 2021 Courses – CS535 Pattern Recognition
  • “These Pizzas Do Not Exist”
  • Picture-to-Amount (PITA): Predicting Relative Ingredient Amounts from Food Images
  • New NSF Grant: Learning Joint Crowd-Space Embeddings for Cross-Modal Crowd Behavior Prediction

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    SEQAM Lab
    CBIM Center
    Rutgers University
    617 Bowser Road
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