Training-free color-style disentanglement for constrained text-to-image synthesis

A non-transitory computer readable medium storing code for image processing, the code comprising instructions executable by a processor to:

• generate, using a first image generation model, a color conditioned image based on a color input and a content input, wherein the color conditioned image depicts an image element with a color attribute;
• generate, using a second image generation model, a style conditioned image based on a style input and the content input, wherein the style conditioned image depicts the image element with a style attribute;
• convert the style conditioned image and the color conditioned image into a style LAB image and a color LAB image, respectively;
• and
• combine the style LAB image and the color LAB image to obtain a synthetic image, wherein the synthetic image depicts the image element with the color attribute and the style attribute.

An apparatus for image processing, comprising:

• at least one processor;
• at least one memory component coupled with the at least one processor;
• a first image generation model comprising parameters stored in the at least one memory component and trained to generate a color conditioned image based on a color input and a content input, wherein the color conditioned image depicts an image element with a color attribute;
• and
• a second image generation model comprising parameters stored in the at least one memory component and trained to generate a style conditioned image based on a style input and the content input, wherein the style conditioned image depicts the image element with a style attribute,
• wherein the apparatus is configured to combine the color conditioned image and the style conditioned image to obtain a synthetic image, wherein the synthetic image depicts the image element with the color attribute and the style attribute.