VisualCritic: Making LMMs Perceive Visual Quality Like Humans

arXiv:2403.12806v1 Announce Type: new
Abstract: At present, large multimodal models (LMMs) have exhibited impressive generalization capabilities in understanding and generating visual signals. However, they currently still lack sufficient capability to perceive low-level visual quality akin to human perception. Can LMMs achieve this and show the same degree of generalization in this regard? If so, not only could the versatility of LMMs be further enhanced, but also the challenge of poor cross-dataset performance in the field of visual quality assessment could …

abstract arxiv capabilities capability cs.cv however human humans large multimodal models lmms low making multimodal multimodal models perception quality regard show type understanding visual