byeongjun-park/Switch-DiT

[ECCV 2024] Official pytorch implementation of "Switch Diffusion Transformer: Synergizing Denoising Tasks with Sparse Mixture-of-Experts"

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This project offers an advanced method for generating high-quality images from noisy inputs, building on existing diffusion models. It takes in various types of noisy image data and outputs clearer, more realistic images. This tool is designed for machine learning researchers and practitioners who work on image generation and enhancement tasks.

No commits in the last 6 months.

Use this if you are a machine learning researcher or engineer focused on improving the performance and efficiency of diffusion models for image generation.

Not ideal if you are looking for an out-of-the-box solution for casual image editing or don't have experience with PyTorch and deep learning model training.

image-generation deep-learning computer-vision machine-learning-research diffusion-models
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 17 / 25

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Stars

47

Forks

9

Language

Python

License

MIT

Last pushed

Jul 04, 2024

Commits (30d)

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