Sony Group Corporation

Sony Interactive Entertainment Inc.

Joshua Scott Hobson

Ming-Chang Liu

Ko-Kai Albert Huang

Liyu Gong

A method for super-resolution of block-compressed texture is provided. The method includes receiving a first texture block of a first block size. Based on application of a first block compression (BC) scheme on the received first texture block, coded-texture values are generated in a compressed domain. Further, a first machine learning model is applied on the generated coded-texture values to generate super-resolution coded-texture values in the compressed domain. The generated super-resolution coded-texture values are processed to generate a second texture block of a second block size. The second block size is greater than the first block size.

Super-resolution of block-compressed texture for texture mapping applications

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.

Machine learning techniques to create higher resolution compressed data structures representing textures from lower resolution compressed data structures

Growing community of inventors

Los Angeles, CA, United States of America

Joshua Scott Hobson