Synthetic image generation is a key process in a change-based disaster detection method which detects differences before and after a disaster from Synthetic Aperture Radar (SAR) images using a ...

While many AI platforms now support image generation, you should know which ones offer the best output.

We propose a Crystal Diffusion Variational Autoencoder (CDVAE) that captures the physical inductive bias of material stability. By learning from the data distribution of stable materials, the decoder ...

Researchers gravitate towards Generative Adversarial Networks (GAN) to create artificial images. However, GANs suffer from convergence issues, mode collapse, and overall complexity in balancing the ...