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Sony patents technology similar to DLSS

Nvidia’s DLSS 2.0 has recently overtaken the conversation across the PC gaming sphere thanks to its excellent reconstructive techniques, saving on hardware resources and allowing games to look better, while running better. While Sony has used a similar technique via checkerboard rendering for many of its first-party titles, the console manufacturer appears to be evolving its tech to be more similar to DLSS for the PlayStation 5, thanks to a recent patent.

Discovered by Android Central, the patent, titled “INFORMATION PROCESSING DEVICE” claims to “[acquire] a plurality of reference images obtained by imaging an object that is to be reproduced, acquiring a plurality of converted images obtained by enlarging or shrinking each of the plurality of reference images, executing machine learning using a plurality of images to be learned, as teaching data, that include the plurality of converted images, and generating pre-learned data that is used for generating a reproduction image that represents the appearance of the object.”

The process by which the image is reconstructed is similar to that of Nvidia’s DLSS 2.0 and suggests that Sony might be moving away from checkerboard rendering in the upcoming generation – replaced instead by this new technology.

For titles that support it, Nvidia’s DLSS 2.0 has done wonders in terms of improving game performance thanks to lowering the resolution, while using AI and machine learning to make the games look just as good – or even better – than native 4K resolutions. With console generations typically refreshing every 6-7 years, the use of AI and machine learning could help keep the PS5 competitive with stronger and more capable systems for years after its launch.

KitGuru says: What do you think of DLSS? Would you like to see this patented technology come to the PS5? Is native resolution obsolete? Let us know down below.

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It would be hard to argue that NVIDIA’s DLSS technologies haven’t been a net positive to the PC space, with the machine-learning based upscaler successfully translating lower resolution inputs into a final image which is perceivably sharper while hogging fewer resources. Though somewhat more contentious, the next evolution of DLSS came in the form of Frame Generation, using ML in order to generate additional frames for high-refresh rate gaming. Both techniques can have their issues, but generally speaking they’ve allowed for more people to experience higher-end titles at increased frame rates. DLSS 5, however, takes a sharp pivot, with a very different end goal in mind than the performance-boosting versions that came before.