Search Results for author: Fangda Han

Found 7 papers, 5 papers with code

Multi-attribute Pizza Generator: Cross-domain Attribute Control with Conditional StyleGAN

1 code implementation22 Oct 2021 Fangda Han, Guoyao Hao, Ricardo Guerrero, Vladimir Pavlovic

To synthesize a pizza image with view attributesoutside the range of natural training images, we design a CGI pizza dataset PizzaView using 3D pizza models and employ it to train a view attribute regressor to regularize the generation process, bridging the real and CGI training datasets.

Attribute Conditional Image Generation

Cross-Modal Coherence for Text-to-Image Retrieval

1 code implementation22 Sep 2021 Malihe Alikhani, Fangda Han, Hareesh Ravi, Mubbasir Kapadia, Vladimir Pavlovic, Matthew Stone

Common image-text joint understanding techniques presume that images and the associated text can universally be characterized by a single implicit model.

Image Retrieval Retrieval

MPG: A Multi-ingredient Pizza Image Generator with Conditional StyleGANs

1 code implementation4 Dec 2020 Fangda Han, Guoyao Hao, Ricardo Guerrero, Vladimir Pavlovic

Because of the complex nature of the multilabel image generation problem, we also regularize synthetic image by predicting the corresponding ingredients as well as encourage the discriminator to distinguish between matched image and mismatched image.

Conditional Image Generation

Picture-to-Amount (PITA): Predicting Relative Ingredient Amounts from Food Images

no code implementations17 Oct 2020 Jiatong Li, Fangda Han, Ricardo Guerrero, Vladimir Pavlovic

Increased awareness of the impact of food consumption on health and lifestyle today has given rise to novel data-driven food analysis systems.

Nutrition

CookGAN: Meal Image Synthesis from Ingredients

1 code implementation25 Feb 2020 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.

Image Generation

The Art of Food: Meal Image Synthesis from Ingredients

1 code implementation9 May 2019 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 ingredients.

Image Generation

Cartoonish sketch-based face editing in videos using identity deformation transfer

no code implementations25 Mar 2017 Long Zhao, Fangda Han, Xi Peng, Xun Zhang, Mubbasir Kapadia, Vladimir Pavlovic, Dimitris N. Metaxas

We first recover the facial identity and expressions from the video by fitting a face morphable model for each frame.

Face Model

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