Scheduled decreasing style injection across decoder layers and denoising timesteps, combined with ControlNet scheduling, expands the style-content tradeoff frontier and achieves 6.1% better ArtFID than StyleID across 28k images.
Unpaired image-to-image translation using cycle- consistent adversarial networks
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Scheduled Style Injection: Expanding the Style-Content Pareto Frontier in Training-Free Diffusion-based Style Transfer
Scheduled decreasing style injection across decoder layers and denoising timesteps, combined with ControlNet scheduling, expands the style-content tradeoff frontier and achieves 6.1% better ArtFID than StyleID across 28k images.