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Key-Frame-based Video Super-Resolution (K = 15)

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크
0
평가표
2
보존된 평가 기록
2

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.

데이터셋

출처에 같은 태스크 이름으로 연결된 데이터셋입니다. 동명 태스크가 포함될 수 있으므로, 비교할 때는 평가 결과의 조건도 확인하세요.

Vid4

The Vid4 dataset is generally used for testing video super-resolution. It consists of four sequences: walk (740x480, 47 frames), foliage (740x480, 49 frames), city (704x576, 34 frames), and calendar (720x576, 41 frames).

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.