Our copernic360 and copernic worlds technologies leverage underlying geometric AI techniques for 360° photos and videos to deliver enhanced realism and interactivity for virtual reality. But virtual reality is far from the only use of geometric AI for spherical data.
Over recent years we’ve progressed a cutting-edge programme of fundamental research to develop geometric AI techniques for spherical data that are highly effective, while also being computationally scalable to huge, high-resolution datasets. These developments are presented in a series of research papers published in ICLR, one of the premiere deep learning conferences (see our Research page for further details).
Our underlying geometric AI techniques have now reached a maturity where they can be applied broadly and at scale.
We have recently showcased models for classical AI problems, including Scene360 for classification of 360° scenes and Recommender360 to recommend 360° imagery based on a semantic understanding of the panoramic content.
With our recent research developments, we now have the building blocks needed to realise the next wave of open generative AI for geometries like the sphere and 3D more generally. To focus on these exciting generative AI applications, CopernicAI has become its own thing, with its own online presence.
You can read more on the dedicated CopernicAI website here.