---
license: mit
language:
- en
metrics:
- accuracy
pipeline_tag: unconditional-image-generation
tags:
- art
---

# Photo Regenerator w/Diffusion Denoiser Model
Incrementally adds noise over a series of steps via a noise scheduler, and feeds images through 
a CNN to learn features/patterns to then "regenerate" the image.

The `.ipynb` holds the tests and download of the dataset if needed.

## Goals:
- **Denoise a 25-step noisy image (Blurry)**
- Denoise a 100-step noisy image 
- Denoise a 500-step noisy image
- Denoise a 1000-step noisy image

**Dataset Used: COCO 2017**