AI RESEARCH
GT-PCQA: Geometry-Texture Decoupled Point Cloud Quality Assessment with MLLM
arXiv CS.CV
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ArXi:2603.14951v1 Announce Type: new With the rapid advancement of Multi-modal Large Language Models (MLLMs), MLLM-based Image Quality Assessment (IQA) methods have shown promising generalization. However, directly extending these MLLM-based IQA methods to PCQA remains challenging. On the one hand, existing PCQA datasets are limited in scale, which hinders stable and effective instruction tuning of MLLMs. On the other hand, due to large-scale image-text pre