Method for generating image having metal texture, and model training method

A method of training a metallic texture image generation model, comprising:

• determining a first sample image corresponding to each target sample image, wherein the first sample image is an image with metallic texture;
• determining a second sample image corresponding to each target sample image according to the first sample image corresponding to each target sample image, wherein a difference between a position of a human face in the second sample image and a position of a human face in the corresponding target sample image is less than a preset value;
• and
• determining a plurality of sample image pairs based on each second sample image and each target sample image, and updating model parameters of an initial metallic texture image generation model based on the plurality of sample image pairs to obtain the metallic texture image generation model.

A device for generating an image with metallic texture, comprising:

• a processor, and a memory communicatively connected with the processor;
• wherein
• the memory stores computer-executable instructions;
• wherein the instructions upon execution by the processor, cause the processor to:
• acquire a first video;
• and
• input the first video into a pre-trained metallic texture image generation model to obtain a second video, wherein each frame of images in the second video is an image with metallic texture, and wherein the metallic texture image generation model is trained based on a plurality of first sample images and second sample images with metallic texture corresponding to each first sample image.