Use of machine learning to transform screen renders from the player viewpoint
US12318693B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 1, 2022 |
| Grant date | Jun 3, 2025 |
| Priority date | — |
| Expiry date | Oct 11, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/006
- WIPO fieldFurniture, games
- WIPO sectorOther fields
Abstract
Machine learning is used to transform screen renders from the viewpoint of the player's character to be from the viewpoint of other non-player characters (NPC) in the room. One or more neural networks are trained using game images captured during a human play session, and then subsequently the neural networks are used to create realistic video from the NPC viewpoints. To avoid rendering multiple viewpoints simultaneously, a single viewpoint is rendered, and neural networks are used to transform it for the viewpoints of other NPCs in the area. A group of NPCs may be treated as a batch and a single viewpoint transformed to multiple viewpoints in a single inference pass. For cloud gaming the game video can be rendered/sent immediately for the player but the actions of the NPCs are delayed for a frame while the neural network generates the behavior.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.