You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Diffusion Tutorials (Enhanced Chinese Edition) — A Chinese-translated and theory-enhanced version of tsmatz/diffusion-tutorials, bridging diffusion model theory (DDPM/SMLD/SDE) with practical PyTorch implementations.
南京农业大学本科记忆——毕业设计—— 扩散模型算法研究——Diffusion Models for Bovine Mastitis Image Generation and Augmentation(Benchmark DDPM /LDM/DDPM_VARIANCE) model checkpoint.pth download on this website
A PyTorch implementation of Denoising Diffusion Probabilistic Models (DDPM) that trains a UNet with self-attention to generate images by learning to reverse a gradual noising process, transforming random Gaussian noise into coherent images through iterative denoising steps.
Hands-on exploration of diffusion models — training a UNet-based DDPM on butterfly images to understand the forward/reverse diffusion process from the ground up.