May 8, 2024, 4:46 a.m. | Jiaxin Zhang, Dezhi Peng, Chongyu Liu, Peirong Zhang, Lianwen Jin

cs.CV updates on arXiv.org arxiv.org

arXiv:2405.04408v1 Announce Type: new
Abstract: Document image restoration is a crucial aspect of Document AI systems, as the quality of document images significantly influences the overall performance. Prevailing methods address distinct restoration tasks independently, leading to intricate systems and the incapability to harness the potential synergies of multi-task learning. To overcome this challenge, we propose DocRes, a generalist model that unifies five document image restoration tasks including dewarping, deshadowing, appearance enhancement, deblurring, and binarization. To instruct DocRes to perform various …

arxiv cs.cv document image image restoration restoration tasks type

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