Google DeepMind Research Introduced SODA: A Self-Supervised Diffusion Model Designed for Representation Learning

Google DeepMind’s researchers have developed SODA, an AI model that addresses the problem of encoding images into efficient latent representations. With SODA, seamless transitions between images and semantic attributes are made possible, allowing for interpolation and morphing across various image categories. Diffusion models have revolutionized visual synthesis, excelling in diverse tasks like image, video, audio, […]

The post Google DeepMind Research Introduced SODA: A Self-Supervised Diffusion Model Designed for Representation Learning appeared first on MarkTechPost.

ai model ai shorts applications artificial intelligence computer vision deepmind deepmind research diffusion diffusion model diffusion models editors pick encoding google google deepmind image images machine learning representation representation learning research researchers semantic soda staff synthesis tech news technology transitions visual