Image processing method and training method based on generative adversarial network, electronic device, and medium

Abstract

Embodiments of the present disclosure disclose an image processing method, a training method for an image processing model, an electronic device and a medium. The image processing method comprises: inputting an image to be processed into an image processing model in response to a special effect trigger instruction; and outputting a target image from the image processing model, wherein the target image comprises a special effect object and a conflicting object corresponding to the special effect object is removed in the target image, wherein the image processing model is trained based on an image with the conflicting object removed and a target object superimposed, wherein the target object comprises an adjustable object having a same presentation effect as the special effect object, and the image with the conflicting object removed is generated by a generator trained based on a generative adversarial network.