Com-PCQA: No-Reference Point Cloud Quality Assessment via Complex-valued Feature Learning

The visual quality of point clouds is critical for perception-centric immersive media. Point Cloud Quality Assessment (PCQA) is crucial for reducing costs associated with human evaluation, optimizing compression pipeline and enhancing human visual perception. However, real-valued PCQA methods often struggle to capture the coupled geometric and perceptual cues that govern quality. Com-PCQA, a novel no-reference PCQA framework leveraging complex-valued feature learning, is proposed. First, a Hilbe