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# Constrained Diffusion Implicit Models
## Authors
[Vivek Jayaram](http://www.vivekjayaram.com/), [John Thickstun](https://johnthickstun.com/), [Ira Kemelmacher-Shlizerman](https://homes.cs.washington.edu/~kemelmi/), and [Steve Seitz](https://homes.cs.washington.edu/~seitz/)
## [Project Page](www.google.com)
(Coming Soon)
### [Paper](www.google.com)
(Coming Soon)
### Summary
We solve noisy linear inverse problems with diffusion models. The method is fast and addresses many problems like inpainting, super-resolution, gaussian deblur, and poisson noise.
## Getting started
### 1) Clone the repository
```
git clone https://github.com/vivjay30/cdim
cd cdim
export PYTHONPATH=$PYTHONPATH:`pwd`
```
### 2) Install dependencies
```
conda create -n cdim python=3.11
conda activate cdim
pip install -r requirements.txt
pip install torch==2.4.1+cu124 torchvision-0.19.1+cu124 --extra-index-url https://download.pytorch.org/whl/cu124
```
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