Method and apparatus with image transformation

An apparatus with image transformation, comprising:

• a processor configured to:
• obtain an original image;
• and
• determine a transformed image using a neural network model configured to transform a color of the original image,
• wherein the neural network model comprises an operation block configured to perform white balancing on the original image, a correction block configured to correct a color of an output image of the operation block, and a mapping block comprising a plurality of residual blocks configured to apply a lookup table to an output image of the correction block.

A method with image transformation, comprising:

• generating, using a first generation model, a first transformed image based on a first original image;
• generating, using a second generation model, a second transformed image based on the first transformed image;
• and
• training the first generation model based on a reconstruction loss and an adversarial loss, where the reconstruction loss is determined between the first original image and the second transformed image, and the adversarial loss updates one or more parameters of the first generation model and is determined based on a second original image and the first transformed image.