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From physics to generative AI: An AI model for advanced pattern generation | MIT News | Massachusetts Institute of Technology

Published: September 27, 2023

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.

Source: mit.edu

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

Published: September 2, 2023

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.

Source: github.com

Using AI to protect against AI image manipulation

Published: July 31, 2023

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).

Source: mit.edu