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Unifying Image Processing as Visual Prompting Question Answering
Feb. 22, 2024, 5:46 a.m. | Yihao Liu, Xiangyu Chen, Xianzheng Ma, Xintao Wang, Jiantao Zhou, Yu Qiao, Chao Dong
cs.CV updates on arXiv.org arxiv.org
Abstract: Image processing is a fundamental task in computer vision, which aims at enhancing image quality and extracting essential features for subsequent vision applications. Traditionally, task-specific models are developed for individual tasks and designing such models requires distinct expertise. Building upon the success of large language models (LLMs) in natural language processing (NLP), there is a similar trend in computer vision, which focuses on developing large-scale models through pretraining and in-context learning. This paradigm shift reduces …
abstract applications arxiv building computer computer vision cs.cv designing eess.iv expertise features image image processing language language models large language large language models llms processing prompting quality question question answering success tasks type vision visual visual prompting
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