南洋理工大學出品！視頻修復框架KEEP：修復視頻中的人臉清晰度 高清不再模糊
面對視頻質量對觀看體驗的直接影響，特別是面部細節的呈現，當前方法如簡單應用超分辨率網絡於面部數據集或獨立處理每幀圖像，往往難以兼顧面部重建的細節與時間一致性。爲解決這一挑戰，南洋理工大學研究團隊推出了創新框架KEEP，利用卡爾曼濾波原理實現面部修復的“回憶”能力，顯著提升修復過程中的面部細節一致性和連續性。KEEP框架由四個關鍵模塊組成：編碼器、解碼器、卡爾曼濾波網絡和跨幀注意力（CFA），構建基於變分量子生成對抗網絡（VQGAN）的模型用於生成高清面部圖像。卡爾曼濾波網絡通過結合當前幀和前一幀的信息，形成準確的狀態估計，增強圖像清晰度。跨幀注意力模塊進一步增強幀間關聯性，確保視頻播放的時效性和細節呈現。實驗驗證，KEEP在面部細節恢復和時間一致性保持方面表現出色，爲面部視頻超分辨率領域帶來革新，顯著提升觀看體驗。
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