Despite the current wave of interest in Neural Radiance Fields (NeRF), a technology capable of creating AI-generated 3D environments and objects, this new approach to image synthesis technology still requires a great deal of training-time, and lacks an implementation that enables real-time, highly responsive interfaces.

However, a collaboration between some impressive names in industry and academia offers a new take on this challenge (generically known as Novel View Synthesis, or NVS).

The research paper, entitled Neural Lumigraph Rendering, claims an improvement on the state-of-the-art of about two orders of magnitude, representing several steps towards real-time CG rendering via machine learning pipelines.

Though credits for the paper only cite Stanford University and holographic display technology company Raxium (currently operating in stealth mode), the contributors include a principal machine learning architect at Google, a computer scientist at Adobe, and the CTOat StoryFile (which made headlines recently with an AI version of William Shatner).

Volucap is proud to have provided a 360 degree multi-view video captured using the unmatched volumetric production studio at Volucap.

Take a closer look at the topic of image synthesis in this article over at UNITE.AI.

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