Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution
收藏DataCite Commons2026-01-07 更新2026-05-05 收录
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https://service.tib.eu/ldmservice/dataset/6a5d6c25-5f54-4223-befe-1e567b882caa
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资源简介：
Video super-resolution (VSR) has become one of the most critical problems in video processing. In the deep learning literature, recent works have shown the benefits of using adversarial-based and perceptual losses to improve the performance on various image restoration tasks; however, these have yet to be applied for video super-resolution.
提供机构：
TIB
创建时间：
2024-12-03
