DCANet: Dual-contrast adaptive network for real-time inference video super-resolution
Leping Lin,
Zhi Su,
Ning Ouyang
Abstract:Deep learning-based methods have made significant breakthroughs in real-time inference video super-resolution in recent years. However, these methods are prone to blurring, unnatural textures, and other distortion problems in super-resolution reconstructed video when dealing with complex environments and large-motion video scenes, which greatly affects the efficiency of video super-resolution reconstruction. Moreover, the real-time inference video super-resolution network training based on generative adversari… Show more
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