GenerativeModels

GenerativeModels copied to clipboard

Add a version of our [brain image generator](https://github.com/Project-MONAI/GenerativeModels/tree/main/model-zoo/models/brain_image_synthesis_latent_diffusion_model), that is conditioned on text sentences instead on float vectors (containing age, gender, and brain volumes). With this approach, it will be...

Warvito

Add script to perform the conversion of the stable diffusion model to our classes (AutoencoderKL and DiffusionModelUNet)

Warvito

Add tutorial performin Denoising based on "DDM: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models" https://openreview.net/forum?id=0vqjc50HfcC

Warvito

Add alpha-WGAN

2

Add alpha-WGAN from https://arxiv.org/abs/1908.02498

Warvito

Add Hierarchical Amortized GAN

1

Add the GAN from ["Hierarchical Amortized GAN for 3D High Resolution Medical Image Synthesis"](https://ieeexplore.ieee.org/abstract/document/9770375) (official code available in this [link](https://github.com/batmanlab/HA-GAN))

Warvito

For now, we added just the inference code for some models in the model zoo. It would be great to have the reference to train these models as a bundle.

Warvito

Add tutorial on how to obtain measures of privacy and resemblance on synthetic datasets.

Warvito

Try using the original adversarial losses for the 2D LDM tutorial

3

In the 3D examples, we had problems with the original LDM's adversarial losses. This does not mean it will not work well for the 2D scenarios.

Warvito

Add components to perform super-resolution based on diffusion models

1

Create the components necessary to perform the training and inference of super-resolution task based on diffusion models. As reference, we could use approaches used in Imagen (https://imagen.research.google/), Cascated Diffusion (https://cascaded-diffusion.github.io/),...

Warvito

Add CDPM model, a 2D conditional DPM for 3D generation, from https://arxiv.org/abs/2212.08034

xiaoiker