AlejandroPqLz/tf-diffusion-scratch
Implementing a Denoising Diffsuion Probabilistic Model (DDPM) on Tensorflow from scratch for Pokémon sprites synthesis
This project helps data science and AI students or researchers create unique images from scratch. It takes existing image datasets as input and generates new, similar but distinct images, outputting them as image files. The end-user is typically someone studying or working with generative AI models, particularly Denoising Diffusion Probabilistic Models (DDPMs).
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Use this if you are a student or researcher interested in understanding and implementing diffusion models for image generation from the ground up, particularly using TensorFlow.
Not ideal if you need a pre-built tool for production-level image generation or if you are not interested in the underlying mathematical and theoretical concepts of diffusion models.
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13
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2
Language
Jupyter Notebook
License
MIT
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Last pushed
Dec 13, 2024
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