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US 2022/0092740 A1Published application
Machine learning techniques to create higher resolution compressed data structures representing textures from lower resolution compressed data structures and training therefor
AssigneeSony Interactive Entertainment Inc.
InventorJoshua Scott Hobson
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Abstract
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.
Claims20
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.
3 more elements
An assembly comprising:
- at least one computer storage that is not a transitory signal and that comprises instructions executable by at least one processor to:
- input decompressed texture blocks associated with a first resolution to at least one machine learning (ML) algorithm;
- input ground truth texture blocks associated with a second resolution higher than the first resolution to the ML algorithm;
- execute the ML algorithm to train on the decompressed texture blocks and ground truth texture blocks;
- and
- subsequent to training, execute the ML algorithm to receive lower resolution textures from a source and generate higher resolution textures from the lower resolution textures without decompressing or compressing the lower resolution textures.
3 more elements
A method comprising:
- accessing at least one machine learning (ML) engine;
- and
- training the ML engine using decompressed texture blocks to generate higher resolution from lower resolution textures.
Dependencies are inferred from the claim text.