CONSOLE GAMING / 2026.08.07
PlayStation 6 Could Get Sony's Own Frame Generation Technology, Patent Suggests
Sony has a new patent application that describes its own take on frame generation, and the PlayStation 6 seems like the obvious target, though no console is named. Titled "Generation Super Sampling," the filing (US…

Sony has a new patent application that describes its own take on frame generation, and the PlayStation 6 seems like the obvious target, though no console is named. Titled "Generation Super Sampling," the filing (US 2026/0320740 A1) was published on October 15 and lists Sony engineer Denis Dupeyron as the inventor. It describes an encoder neural network that turns a newly rendered frame into a compact embedding, and a decoder network that uses it to predict the next frame. Optional inputs include motion vectors and recent controller inputs, which help the model guess where the player is heading. That frame is displayed while the next real one is still rendering.
The filing points out that existing methods insert a generated frame between two real ones, which means waiting for both and adding delay. Sony's version predicts forward from a single frame, with the goal of smoothing out hitching in heavy scenes without lowering visual quality. It can also predict several frames at once, and there's a simpler non-AI fallback that shifts blocks of pixels along their motion vectors. Apparently, the model trains on the video stream itself, comparing each guess with the real next frame, so no human labeling is needed. However, the filing includes no latency or image quality numbers, and it remains pending, so there's no guarantee any of it ships. Read full story
The filing points out that existing methods insert a generated frame between two real ones, which means waiting for both and adding delay. Sony's version predicts forward from a single frame, with the goal of smoothing out hitching in heavy scenes without lowering visual quality. It can also predict several frames at once, and there's a simpler non-AI fallback that shifts blocks of pixels along their motion vectors. Apparently, the model trains on the video stream itself, comparing each guess with the real next frame, so no human labeling is needed. However, the filing includes no latency or image quality numbers, and it remains pending, so there's no guarantee any of it ships. Read full story