https://github.com/vb000/neuricam
공식 코드NeuriCam: Key-Frame Video Super-Resolution and Colorization for IoT Cameras
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Key-Frame-based Video Super-Resolution is a sub-task of Video Super-Resolution, where, in addition to the low-resolution frames, high-resolution ground-truth frames for every Kth input frame are also provided as inputs to the model. For example, if [LR-frame-1, LR-frame-2, LR-frame-3, ..., LR-frame-100] is the sequence of low-resolution frames to be upscaled, the Key-Frame-based Video Super-Resolution (K = 15) model is also provided with the high-resolution frames [HR-frame-1, HR-frame-16, ..., HR-frame-91] . Key-frames are excluded when measuring the evaluation metrics.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.