Guohua Zhang

By decoupling geometry and texture cues, GT-PCQA overcomes the texture bias of MLLMs to achieve state-of-the-art point cloud quality assessment, even with limited PCQA data.

Transferring image quality knowledge to point clouds can dramatically improve no-reference point cloud quality assessment, but only if you carefully align features by quality level and augment features in a quality-aware way.