generative-models
Modern generative models with TensorFlow, including Diffusion, VQGAN and Transformed-based models.
Models
| Source code | arXiv | Year | Status |
|---|---|---|---|
| Denoising Diffusion Probabilistic Models | https://arxiv.org/pdf/2006.11239.pdf | 2020 | In progress |
| Denoising Diffusion Implicit Models | https://arxiv.org/pdf/2010.02502.pdf | 2020 | Not started |
| Improved Denoising Diffusion Probabilistic Models | https://arxiv.org/pdf/2102.09672.pdf | 2021 | Not started |
| Diffusion Models Beat GANs on Image Synthesis | https://arxiv.org/pdf/2105.05233.pdf | 2021 | Not started |
| Vector-quantized Image Modeling with Improved VQGAN | https://arxiv.org/pdf/2110.04627.pdf | 2021 | Not started |
| High-Resolution Image Synthesis with Latent Diffusion Models | https://arxiv.org/pdf/2112.10752.pdf | 2021 | Not started |
| RePaint: Inpainting using Denoising Diffusion Probabilistic Models | https://arxiv.org/pdf/2201.09865.pdf | 2022 | Not started |