A drop of dye added to a glass of water undergoes ordinary diffusion. However, when placed on the surface of a foam, the dye ...
Ancient mural restoration is a challenging conditional image-generation problem because of large missing regions, semantic ambiguity, and strict demands for cultural and stylistic fidelity. We present ...
The crystal diffusion variational autoencoder (CDVAE) is a machine learning model that leverages score matching to generate realistic crystal structures that preserve crystal symmetry. In this study, ...
Morning Overview on MSN
Today’s general AI models spin photorealistic images, short HD video and 3D scenes from a single line of text
Designers, filmmakers, and game developers can now type a single sentence and receive a photorealistic image, a short ...
Google’s Diffusion Gemma introduces a bold shift in AI language modeling by adopting a diffusion-based architecture that processes tokens in parallel, rather than sequentially. As explained by Prompt ...
With so much money flooding into AI startups, it’s a good time to be an AI researcher with an idea to test out. And if the idea is novel enough, it might be easier to get the resources you need as an ...
Another day, another AI model from Google. This time, Google DeepMind has released a new member of the Gemma 4 open model ...
Google says that DiffusionGemma can generate more than 1,000 tokens per second when running on a single H100, a server-grade ...
Diffusion models generate incredible images by learning to reverse the process that, among other things, causes ink to spread through water. Ask DALL·E 2, an image generation system created by OpenAI, ...
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