Here's what actually issued. On November 8, 2022, NVIDIA Corporation was granted US11494976B2, "Neural rendering for inverse graphics generation," with inventors including Sanja Fidler and Antonio Torralba — strong neural-graphics research credentials. The CPC list spans 3D modeling (G06T 17/00), rendering (G06T 15/10), and network training (G06N 3/0454, G06N 3/088).
The mechanism is inverse graphics. Ordinary rendering goes forward: from a 3D scene description to a 2D image. Inverse graphics runs it backward — from a 2D image, recover the underlying 3D shape, materials, and lighting. Neural rendering uses trained networks to make that inversion tractable, learning to predict scene parameters that, when rendered, reproduce the input image. It's how you turn photos into editable 3D content.
Strategically this sits exactly where NVIDIA wants to be: the intersection of AI and graphics, where its GPU dominance and its rendering heritage compound. Owning methods that bridge images and 3D — for content creation, simulation, and synthetic-data generation — protects a capability that feeds its hardware and its software stack alike.
On scope, the discipline: granted B2, enforceable, but the claims describe a specific neural-rendering method for inverse graphics. They do not cover all 3D reconstruction or all neural rendering, both broad and well-populated fields. Claim 1 is the boundary.
The takeaway: US11494976B2 is NVIDIA patenting the AI-graphics seam again — this time the image-to-3D direction — with top-tier research inventors and method-specific claims tied to the rendering pipeline its silicon accelerates.