2 papers
cs.CV2023
Multi-Modality Deep Network for JPEG Artifacts Reduction
Xuhao Jiang, Weimin Tan, Qing Lin +3
In recent years, many convolutional neural network-based models are designed for JPEG artifacts reduction, and have achieved notable progress. However, few methods are suitable for…
cs.CV2022
Rethinking Super-Resolution as Text-Guided Details Generation
Chenxi Ma, Bo Yan, Qing Lin +2
Deep neural networks have greatly promoted the performance of single image super-resolution (SISR). Conventional methods still resort to restoring the single high-resolution (HR) s…