“Basic image translation simply overlays color blocks on the original image, which results in poor visual quality. High-quality translation requires the text to appear as if it were directly printed onto the image.”

Root Cause Analysis

Background texture generation

When the system erases the original foreign text in an image, the inpainting model analyzes the surrounding pixel features (color, texture, lighting) and intelligently generates and fills in the erased area, making the background appear seamless.

Stylized Text Rendering

When reinserting the translated text, the system analyzes the original text’s color, outline, slant, and font style, and attempts to replicate these visual attributes in the target language, achieving a pixel-perfect replacement.

Final Solution Summary

Harness the artistic capabilities of generative AI to address visual aesthetic challenges in translation.