Sony Interactive Entertainment has detailed a new AI-powered frame generation technique that predicts upcoming video game frames before they are fully rendered. The technology, called Generation Super Sampling, aims to improve frame-rate consistency while reducing the latency associated with conventional frame generation methods. Although it could have applications in future PlayStation hardware, Sony has not confirmed plans to implement it in the PlayStation 6.
The technology is described in US patent application 2026/0320740 A1, published on October 15, 2026, following a June 23 filing. The application lists Sony engineer Denis Dupeyron as its inventor and outlines a neural-network architecture capable of generating synthetic frames using information from previously rendered images, motion data and potentially controller inputs.
Unlike traditional frame generation techniques that rely on information from multiple rendered frames to create an intermediate image, Sony’s proposed system can predict a future frame using information available before the next actual frame finishes rendering. The approach is intended to maintain smoother visual output when a game’s rendering workload fluctuates.
The patent describes an encoder-decoder neural network architecture. The encoder processes a rendered image and converts its visual information into a compact representation known as an image embedding. A decoder neural network then uses that representation to predict one or more subsequent frames.
These synthetic frames can be displayed while the graphics pipeline continues producing the next fully rendered image. Once that real frame becomes available, it can be displayed, and the process can repeat.
Sony’s proposal also allows the neural network to consider motion vectors and recent player inputs when predicting what should appear next. Motion vectors describe how objects or pixels move between frames, while controller inputs can provide additional information about actions that may affect the upcoming image.
For example, the patent discusses how pressing a jump button can help the system learn to anticipate subsequent frames containing a character’s jumping animation. The same input-processing approach could incorporate movement information from controllers, keyboards, mice and other devices.
By accounting for player actions, the system could potentially improve predictions when the displayed scene changes in response to gameplay. However, the filing does not establish how accurately these predictions would perform in commercially released games.
The patent also describes generating multiple synthetic frames from available image information. This could allow a graphics system to display additional frames between fully rendered images, although the actual smoothness and responsiveness would depend on implementation.
One of the main objectives is to address frame-rate fluctuations and the additional latency that can accompany frame generation.
Conventional interpolation-based approaches generally use information from rendered frames to estimate an intermediate image. Sony’s forward-prediction method instead attempts to create a frame before the corresponding real frame has been completed, potentially reducing the need to wait for additional rendering work.
The filing specifically discusses NVIDIA’s DLSS 3 frame generation as an example of existing technology. Sony’s proposed design takes a different approach to generating synthetic frames, although the patent provides no comparative benchmarks demonstrating lower latency or better image quality.
AI-assisted frame generation is already relevant to PC gaming, with technologies such as NVIDIA DLSS helping supported hardware produce additional displayed frames. Related developments, including efforts to bring NVIDIA graphics features to AMD Radeon GPUs, illustrate the continuing interest in neural rendering and frame generation across gaming hardware.
Sony’s filing also outlines how its prediction model could be trained. The encoder and decoder process image sequences, generate predictions and compare those predictions against the corresponding actual frames. The difference between the generated and real images is used to adjust the neural network’s parameters.
This training process uses information already present in the image stream rather than requiring individually labeled examples. The patent also includes an alternative approach that generates frames by repositioning image blocks according to motion vectors without relying on the neural-network architecture.
Generation Super Sampling is not Sony’s only recently published application involving AI in gaming. Another patent describes AI systems that adapt NPC behavior using player data, although that technology concerns gameplay interactions rather than graphics rendering.
The Generation Super Sampling application claims priority to an earlier filing dated December 21, 2023. Its publication provides a detailed description of Sony’s proposed rendering techniques but does not establish that the company has developed a finished commercial implementation.
The document does not identify PlayStation 6 hardware, disclose specific GPU requirements or provide measured improvements in frame rate, latency or image quality. It also does not establish whether the technology would be compatible with existing PlayStation consoles.
For now, Generation Super Sampling remains a patented proposal for predictive frame generation rather than an announced PlayStation feature. Whether Sony incorporates the technology into future gaming hardware has yet to be confirmed.
