Neural Assets: Volumetric Object Capture and Rendering for Interactive Environments

Understand

Creating realistic virtual assets is a time-consuming process: it usually involves an artist designing the object, then spending a lot of effort on tweaking its appearance.

• Intricate details and certain effects, such as subsurface scattering, elude representation using real-time BRDFs, making it impossible to fully capture the appearance of certain objects.
• Inspired by the recent progress of neural rendering, we propose an approach for capturing real-world objects in everyday environments faithfully and fast.
• We use a novel neural representation to reconstruct volumetric effects, such as translucent object parts, and preserve photorealistic object appearance.