This repo implements Denoising Diffusion Probabilistic Models (DDPM) in Pytorch
Collection of tutorials on diffusion models, step-by-step implementation guide, scripts for generating images with AI, prompt engineering guide, and resources for further learning.
The Land-Diffuser is a novel application of the Denoising Diffusion Probabilistic Model (DDPM) in the realm of 3D Talking Head generation from raw audio inputs.
Simple Version of Latent Diffusion Models
[ICASSP 2025]RAPID: Recognition of Any-Possible DrIver Distraction via Multi-view Pose Generation Models
A PyTorch from-scratch implementation of Denoising Diffusion Probabilistic Models (DDPM) and Denoising Diffusion Implicit Models (DDIM) sampling to generate 16x16 pixel art sprites.
A probabilistic approach to wildfire spread prediction using a denoising diffusion model
Diffusion models from scratch and experiments
This project develops a robust medical image classification system working on latent representations of brain MRIs and leveraging Denoising Diffusion Probabilistic Models.
This repository is an implementation of the denoising diffusion probabilistic model described in the following paper: https://arxiv.org/abs/2006.11239
Course work from UCLA's ECE239 - Special Topics in Signals and Systems
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