Page 2 - Diffusion Models News Today

Drawing inspiration from physics, a new Poisson Flow Generative Model ++ (PFGM++) integrates diffusion and Poisson Flow principles, outperforming existing diffusion models in advanced image generation. This breakthrough in generative AI taps into both the complexity of electric fields and the simplicity of diffusion to create realistic patterns and images with potential applications spanning multiple domains.

Python library for designing and training your own Diffusion Models with PyTorch. - GitHub - cabralpinto/modular-diffusion: Python library for designing and training your own Diffusion Models with PyTorch.

PhotoGuard is AI technique for countering unauthorized image manipulation, safeguarding authenticity in the era of advanced generative models. The system was developed by researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL).

A team at MIT says injecting tiny disruptive bits of code can cause distorted deepfake images.

A versatile pipeline for generating and editing 3D head avatars with textual prompts.

Explore chain calls, prompt engineering, and hands-on experience with Jupyter notebooks with these five free ChatGPT and generative AI courses.

Even though everyone seems to be talking about ChatGPT, the new artificial intelligence service created by the team over at OpenAI, there are plenty of

AI systems for image and sound synthesis are stochastic libraries capable of interpolation. They require a radical reorientation of copyright law.

DS-Fusion: create artistic typography automatically

A research paper has proven that AI image generators can exactly replicate a copyrighted photo.