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pipeline_tag: unconditional-image-generation
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tags:
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- art
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pipeline_tag: unconditional-image-generation
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tags:
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- art
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---
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# Photo Regenerator w/Diffusion Denoiser Model
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Incrementally adds noise over a series of steps via a noise scheduler, and feeds images through
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a CNN to learn features/patterns to then "regenerate" the image.
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The `.ipynb` holds the tests and download of the dataset if needed.
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## Goals:
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- **Denoise a 25-step noisy image (Blurry)**
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- Denoise a 100-step noisy image
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- Denoise a 500-step noisy image
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- Denoise a 1000-step noisy image
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**Dataset Used: COCO 2017**
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