Abstract: Provided is a method for processing images. The method can include: acquiring a target face image, and performing face key point detection on the target face image to acquire a face key point detection result; determining a face visible area which is not subject to an occluder and a face invisible area which is subject to the occluder in the target face image; and acquiring a target fusion image by fusing a virtual special effect and a face part matched in the target face image based on the face key point detection result, the face visible area and the face invisible area.

Abstract: A method for processing images includes: detecting a plurality of human face key points of a three-dimensional human face in a target image; acquiring a virtual makeup image, wherein the virtual makeup image includes a plurality of reference key points, the reference key points indicating human face key points of a two-dimensional human face; and acquiring a target image fused with the virtual makeup image by fusing the virtual makeup image and the target image with each of the reference key points in the virtual makeup image aligned with a corresponding human face key point.

Abstract: Disclosed are a method an electronic device and a computer storage medium for generating a video. The method includes: receiving a video generating instruction, wherein the video generating instruction is generated in response to a user operation on a video generating link on a video playback page; obtaining video templates based on the video generating instruction, where the video templates comprises a first video template, and the first video template is a template adopted by a current video shown on the video playback page; determining a target template based on the video template; and generating the video based on the target template.

Abstract: Provided is a method for processing images. The method can include: acquiring a target face image, and performing face key point detection on the target face image to acquire a face key point detection result; determining a face visible area which is not subject to an occluder and a face invisible area which is subject to the occluder in the target face image; and acquiring a target fusion image by fusing a virtual special effect and a face part matched in the target face image based on the face key point detection result, the face visible area and the face invisible area.

Abstract: Provided is a method for processing images. The method can include: acquiring a target face image, and performing face key point detection on the target face image; acquiring a first fusion image by fusing a virtual special effect and a face part matched in the target face image based on a face key point detection result; acquiring an occlusion mask of the target face image; and generating a second fusion image based on the occlusion mask and the first fusion image.

Abstract: A method for processing images includes: detecting a plurality of human face key points of a three-dimensional human face in a target image; acquiring a virtual makeup image, wherein the virtual makeup image includes a plurality of reference key points, the reference key points indicating human face key points of a two-dimensional human face; and acquiring a target image fused with the virtual makeup image by fusing the virtual makeup image and the target image with each of the reference key points in the virtual makeup image aligned with a corresponding human face key point.

Abstract: Provided is a method for processing images. The method can include: acquiring a target face image, and performing face key point detection on the target face image; acquiring a first fusion image by fusing a virtual special effect and a face part matched in the target face image based on a face key point detection result; acquiring an occlusion mask of the target face image; and generating a second fusion image based on the occlusion mask and the first fusion image.

Abstract: The present disclosure discloses a method and device for segmenting an image, and a storage medium. The method includes: acquiring the image; obtaining an initial segmentation result by segmenting a target ground region of the image and determining a ground segmentation result of the image based on the initial segmentation result and a current accumulation map, where the current accumulation map includes a ground segmentation result of previous image.

Abstract: The disclosure relates to a method and an electronic device for displaying animation. The method includes: a display instruction is received, wherein the display instruction is configured to trigger the electronic device to display an animation corresponding to an animation model; a spatial parameter of an image device is obtained, wherein the spatial parameter indicates coordinates in a spatial model; an initial position of the animation model in the spatial model is determined based on the special parameter; and the animation at the initial position is displayed based on a skeleton animation, wherein the skeleton animation is generated based on the animation model.

Abstract: Disclosed are a method an electronic device and a computer storage medium for generating a video. The method includes: receiving a video generating instruction, wherein the video generating instruction is generated in response to a user operation on a video generating link on a video playback page; obtaining video templates based on the video generating instruction, where the video templates comprises a first video template, and the first video template is a template adopted by a current video shown on the video playback page; determining a target template based on the video template, and generating the video based on the target template.

Abstract: Disclosed are a method, an electronic device and a storage medium for image generation. The method includes: determining plane coordinates of a drawing point in a first preset space based on a current operating position of a user; determining a depth coordinate of the drawing point in the first preset space based on a distance between the user's first preset part and the screen as well as a projection size of the user's first preset part on the screen at this distance; determining spatial position coordinates of the drawing point in the second preset space based on the plane coordinates and the depth coordinate; generating a spatial AR image based on the spatial position coordinates of the second preset space.