Papers with Code 아카이브

Image Matting

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크
1
평가표
8
보존된 평가 기록
45

Image Matting is the process of accurately estimating the foreground object in images and videos. It is a very important technique in image and video editing applications, particularly in film production for creating visual effects. In case of image segmentation, we segment the image into foreground and background by labeling the pixels. Image segmentation generates a binary image, in which a pixel either belongs to foreground or background. However, Image Matting is different from the image segmentation, wherein some pixels may belong to foreground as well as background, such pixels are called partial or mixed pixels. In order to fully separate the foreground from the background in an image, accurate estimation of the alpha values for partial or mixed pixels is necessary.

Source: Automatic Trimap Generation for Image Matting

Image Source: Real-Time High-Resolution Background Matting

평가 결과

데이터셋과 평가 조건을 선택해 성능·논문·코드를 비교하세요. 보존된 Papers with Code 기록으로, 최신 순위는 아닙니다.

AM-2K

원본 태스크: Image Matting

평가 기록 9건

P3M-10k

원본 태스크: Image Matting

평가 기록 7건

AIM-500

원본 태스크: Image Matting

평가 기록 6건

Adobe Matting

원본 태스크: Image Matting

평가 기록 4건

AMD

원본 태스크: Image Matting

평가 기록 1건

PPM-100

원본 태스크: Image Matting

평가 기록 1건

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