.png){kind=icon}
.png){kind=icon}
Return
User-oriented interactive style transfer
.png){kind=icon}
OA
AI
DOI：10.26599/cvm.2026.9450481.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Neural style transfer (NST) can create impressive artworks by transferring a reference style to a content image. Current image-to-image NST methods lack the fine-grained control often demanded for artistic editing. To mitigate this limitation, we propose a user-oriented interactive style transfer (IST) method, using which a harmonious image like drawing can be interactively created. Our IST method can serve as a brush, dipping style from anywhere, and then painting to any region of the target content image. To control the action scope, we formulate a fluid simulation algorithm, which takes styles as pigments around the position of brush interaction, and uses diffusion in style or content images according to similarity maps. By dipping and painting, even employing a single style image can produce thousands of eye-catching works. Our method expands the creative capabilities of NST.
Keywords:
user interaction
style transfer
image manipulation
content creation
Journal
IF:
18.3
Papers:
310
Citations:
2.6K