Abstract: A method for transforming hair relates to the field of image processing, and can achieve a function of transforming the hair with a more consistent and natural color with respect to that before the hair of a character is transformed. The method for transforming the hair includes: acquiring a first sample image and a second sample image; determining a first color guide map based on the first sample image and the second sample image; acquiring a first image processing model by training with the first sample image and the first color guide map as training data and the second sample image as supervision information; and transforming, based on the first image processing model, hair in an image selected by a user.

Abstract: A method for separating an image can include: acquiring a foreground pixel value and a background pixel value, where the foreground pixel value and the background pixel value are configured to separate a target area from an original image; acquiring a foreground geodesic distance and a background geodesic distance, where the foreground geodesic distance is a distance between a pixel value of each of pixel points and the foreground pixel value in the original image, and the background geodesic distance is a distance between a pixel value of each of the pixel points and the background pixel value; determining a transparency based on the foreground geodesic distance and the background geodesic distance; and separating the target area based on the transparency.

Abstract: A method for transforming hair relates to the field of image processing, and can achieve a function of transforming the hair with a more consistent and natural color with respect to that before the hair of a character is transformed. The method for transforming the hair includes: acquiring a first sample image and a second sample image; determining a first color guide map based on the first sample image and the second sample image; acquiring a first image processing model by training with the first sample image and the first color guide map as training data and the second sample image as supervision information; and transforming, based on the first image processing model, hair in an image selected by a user.

Abstract: The present disclosure relates to a method, a device and a medium for making up a face. The method for making up the face of the present disclosure includes: obtaining a first face image; determining facial key-points by detecting the first face image; generating a second face image by applying makeup to a face in the first face image based on the facial key-points; determining a first face region by segmenting the first face image, wherein the first face region is a face region that is not shielded in the first face image; and generating a final face makeup image with makeup based on the first face region and the second face image.

Abstract: A method for separating an image can include: acquiring a foreground pixel value and a background pixel value, where the foreground pixel value and the background pixel value are configured to separate a target area from an original image; acquiring a foreground geodesic distance and a background geodesic distance, where the foreground geodesic distance is a distance between a pixel value of each of pixel points and the foreground pixel value in the original image, and the background geodesic distance is a distance between a pixel value of each of the pixel points and the background pixel value; determining a transparency based on the foreground geodesic distance and the background geodesic distance; and separating the target area based on the transparency.

Abstract: The present disclosure relates to a method, a device and a medium for making up a face. The method for making up the face of the present disclosure includes: obtaining a first face image; determining facial key-points by detecting the first face image; generating a second face image by applying makeup to a face in the first face image based on the facial key-points; determining a first face region by segmenting the first face image, wherein the first face region is a face region that is not shielded in the first face image; and generating a final face makeup image with makeup based on the first face region and the second face image.