This repo implements Denoising Diffusion Probabilistic Models (DDPM) in Pytorch
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Updated
Nov 25, 2024 - Python
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
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.
Course work from UCLA's ECE239 - Special Topics in Signals and Systems
This repository is an implementation of the denoising diffusion probabilistic model described in the following paper: https://arxiv.org/abs/2006.11239
[ICASSP 2025]RAPID: Recognition of Any-Possible DrIver Distraction via Multi-view Pose Generation Models
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