yang-song/score_sde_pytorch
PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
This project helps researchers and machine learning practitioners generate high-quality, realistic images from scratch, or perform advanced image manipulation like inpainting or colorization. You provide a dataset of images, and the system learns to generate new, diverse images that look similar to the originals. This is primarily for those working with advanced image generation models.
2,089 stars. No commits in the last 6 months.
Use this if you need to generate high-fidelity images, explore new sampling algorithms for generative models, or implement conditional image generation tasks such as class-conditional generation, inpainting, or colorization.
Not ideal if you are looking for a simple, off-the-shelf image generator without needing to dive into the underlying model architectures or training processes.
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Jul 14, 2024
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