Sony patents AI method to sharpen game textures from low-res data
Sony describes a machine learning technique that creates high-resolution game textures directly from low-resolution compressed data. The system trains an AI model to predict detailed image blocks without needing to fully decompress the original files first.
In the filing’s own words
Machine learning is used to generate a first mipmap of a texture having a first compression based on a second mipmap of the same texture and having a second compression without using compression or decompression in generating the first mipmap. The first mipmap can then be used to render a computer graphics object. Training can be done using as input decompressed blocks from originally compressed blocks.
What exactly they claim (claim 1)
1. An assembly comprising: at least one processor configured with instructions to: train at least one machine learning (ML) engine to create higher resolution computer graphics textures (CGT) from lower resolution CGT at least in part by: compressing plural training blocks comprising a first number of texels to create compressed training blocks; decompressing the compressed training blocks to create decompressed training blocks; and; inputting at least the decompressed training blocks to the ML engine for the ML engine to up-res the decompressed training blocks into predicted higher resolution training blocks.
Facts
- Company
- Sony (Sony Interactive Entertainment LLC)
- Official title
- MACHINE LEARNING TECHNIQUES TO CREATE HIGHER RESOLUTION COMPRESSED DATA STRUCTURES REPRESENTING TEXTURES FROM LOWER RESOLUTION COMPRESSED DATA STRUCTURES AND TRAINING THEREFOR
- Publication number
- US20260278739A1
- Application number
- 19681973
- Filed
- May 19, 2026
- Published
- Sep 17, 2026
- Inventors
- 1
- Claims
- 20
Classified under
G06T 3/4053 Physics & computingG06N 20/00 Physics & computingG06T 9/00 Physics & computingMore from Sony in AI & software
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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.