Method for training light filling model, image processing method, and related device thereof

An electronic device, comprising a processor and a memory, wherein the memory is configured to store a computer program executable on the processor;

• and the processor invokes computer instructions to cause the electronic device to:
• display a first interface, wherein the first interface comprises a first control;
• detect a first operation performed on the first control;
• obtain an original image in response to the first operation;
• process the original image by using a target light filling model to obtain a captured image, wherein the target light filling model is obtained by training an initial light filling model using:
• an albedo portrait training image and a normal portrait training image obtained based on a refined matte portrait training image and a plurality of frames of OLAT (one light at a time) training images, and
• to-be-light-filled composite rendered images and light-filled composite rendered image obtained based on the refined matte portrait training image, the plurality of frames of OLAT training images, and a panoramic environment image, and
• wherein the target light filling model is configured to fill light for a person and an environment in the original image.

A chip, comprising:

• a processor, configured to invoke a computer program from a memory and run the computer program, so that a device equipped with the chip performs is enabled to:
• display a first interface, wherein the first interface comprises a first control;
• detect a first operation performed on the first control;
• obtain an original image in response to the first operation;
• and
• process the original image by using a target light filling model to obtain a captured image, wherein the target light filling model is obtained by training an initial light filling model using:
• an albedo portrait training image and a normal portrait training image obtained based on a refined matte portrait training image and a plurality of frames of OLAT (one light at a time) training images, and
• to-be-light-filled composite rendered images and light-filled composite rendered image obtained based on the refined matte portrait training image, the plurality of frames of OLAT training images, and a panoramic environment image, and
• wherein the target light filling model is configured to fill light for a person and an environment in the original image.