DiffusionModel (WIP)

• Re-implementing Denoising Diffusion Probabilistic Models and Denoising Diffusion Implicit Models using Pytorch

Concept of DDPM & DDIM

• DDPM

• DDIM

Model Architecture (WIP)

Trining Process (WIP)

Evaluation Process (WIP)

Reference

• Denoising Diffusion Probabilistic Models (Paper link)
• Denoising Diffusion Implicit Models (Paper link)

Usage of Training

• DDPM

python main.py --model_type=ddpm

• DDIM

python main.py --model_type=ddim

Get a Awesome Generating Images ! (WIP)

• DDPM
• DDIM

Experiments

• Quantitative result

Model	FID	IS	#Params
DDPM	-	-	-
DDIM	-	-	-

• Qualitative result (WIP, attach more images later !, Below images are trained model result !)

  • DDPM

  

  • DDIM

  

Interpolations Experiments (WIP)

• Example (Below image is paper result)

Metric (FID) Evaluation

• Usage

python metric/fid_test.py --cuda=True

Metric (IS) Evalution (WIP)

• Usage

WIP

---

@article{ho2020denoising,
  title={Denoising diffusion probabilistic models},
  author={Ho, Jonathan and Jain, Ajay and Abbeel, Pieter},
  journal={Advances in Neural Information Processing Systems},
  volume={33},
  pages={6840--6851},
  year={2020}
}

@article{song2020denoising,
  title={Denoising diffusion implicit models},
  author={Song, Jiaming and Meng, Chenlin and Ermon, Stefano},
  journal={arXiv preprint arXiv:2010.02502},
  year={2020}
}