Neural 3D rendering uses optics and linear algebra to potentially meet the demand for efficient 3D images for the hyperrealistic metaverse.

The observed images are overlaid with the closest generated object and tracked 3D bounding boxes. Credit: Ost et al. Optimizing 3D models through inverse neural rendering.

Researchers at The University of Osaka have developed a computer graphics (CG) model, NeuraLeaf, capable of representing a ...

Reallusion announces the open beta of AI Render, a completely free plugin that bridges Reallusion's intuitive 3D software—including Character Creator and iClone—with ComfyUI, the open-source ...

Research submitted to Cornell University uses deep neural networks to create detailed 3D models of faces using a single 2D picture. The results are remarkably accurate.

Everybody wants a decent photo ID, but French artist Raphaël Fabre took the quest to a new level. Rather than just having someone snap him, he built a 3D model of his head and torso, then created ...

Otoy had plenty to show at this year’s SIGGRAPH, a convention for computer graphics. The cloud graphics company showed off next-generation production pipelines designed to improve virtual ...

The built-in 3D rendering engine allows users to work in 2D and then convert to 3D using AI in real-time. It also utilizes real-time eye-tracking technology with a switchable lenticular lens.