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cs.CV2025

DocIQ: A Benchmark Dataset and Feature Fusion Network for Document Image Quality Assessment

Zhichao Ma, Fan Huang, Lu Zhao +3

Document image quality assessment (DIQA) is an important component for various applications, including optical character recognition (OCR), document restoration, and the evaluation…

cs.CV2025

Reviving Cultural Heritage: A Novel Approach for Comprehensive Historical Document Restoration

Yuyi Zhang, Peirong Zhang, Zhenhua Yang +5

Historical documents represent an invaluable cultural heritage, yet have undergone significant degradation over time through tears, water erosion, and oxidation. Existing Historica…

cs.CV2025

NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results

Zheng Chen, Kai Liu, Jue Gong +108

This paper presents the NTIRE 2025 image super-resolution (4) challenge, one of the associated competitions of the 10th NTIRE Workshop at CVPR 2025. The challenge aims to r…

cs.CV2024

Leveraging Text Localization for Scene Text Removal via Text-aware Masked Image Modeling

Zixiao Wang, Hongtao Xie, YuXin Wang +3

Existing scene text removal (STR) task suffers from insufficient training data due to the expensive pixel-level labeling. In this paper, we aim to address this issue by introducing…

cs.CV2024

SemanticMIM: Marring Masked Image Modeling with Semantics Compression for General Visual Representation

Yike Yuan, Huanzhang Dou, Fengjun Guo +1

This paper represents a neat yet effective framework, named SemanticMIM, to integrate the advantages of masked image modeling (MIM) and contrastive learning (CL) for general visual…