[MICCAI 2024] Easy diffusion models (optionally with segmentation guidance) for medical images and beyond.

[ECCV 2024] Diffusion Models for Monocular Depth Estimation: Overcoming Challenging Conditions

A simple PyTorch implementation of conditional denoising diffusion probabilistic models (DDPM) on MNIST, Fashion-MNIST, and Sprite datasets

ICML 2024, Official Implementation of "Cross-view Masked Diffusion Transformers for Person Image Synthesis."

[ICML'24] Adsorbate Placement via Conditional Denoising Diffusion

A PyTorch implementation of various deep generative models, including Diffusion (DDPM), GAN, cGAN, and VAE.

A project focused on generating synthetic fingerprint images using deep learning and image processing techniques. Aims to create realistic fingerprints for use in biometric research, security testing, and dataset augmentation.

PyTorch implementation for Conditional Image Generation via Score-Based Diffusion Generative Models

Generative models nano version for fun. No STOA here, nano first.

Diffusion Models crash course with Pytorch from DeepLearningAI