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cs.CV2022
Geometry-Aware Reference Synthesis for Multi-View Image Super-Resolution
Ri Cheng, Yuqi Sun, Bo Yan +2
Recent multi-view multimedia applications struggle between high-resolution (HR) visual experience and storage or bandwidth constraints. Therefore, this paper proposes a Multi-View…
cs.CV2022
Learning Parallax Transformer Network for Stereo Image JPEG Artifacts Removal
Xuhao Jiang, Weimin Tan, Ri Cheng +2
Under stereo settings, the performance of image JPEG artifacts removal can be further improved by exploiting the additional information provided by a second view. However, incorpor…
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…