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Generate Fake Foods using Denoising Diffusion Probabilistic Model

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Food Diffuse: Generate Fake Foods using Denoising Diffusion Probabilistic Model

About the model

The model used in this repo is a modified 2D version of WaveGrad, a denoising difussion probablistic (or difussion) model for speech synthesis.

How to?

Install requirements

pip install -r requirements.txt

Preprocess

zouqi config/default.yml preprocess

Train

zouqi config/default.yml train --print-args

Monitor

tensorboard --logdir logs

Results

Samples from 46.2k iterations:

Credits

The implementation of the diffusion model is mainly based on the WaveGrad implementation from ivanvovk and also inspired by the other implementation from lmnt-com.

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Generate Fake Foods using Denoising Diffusion Probabilistic Model

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