SafeStyle: Calibrated Style Residual Injection for Controllable Style-Leakage Trade-off in Diffusion Stylization

arXiv:2609.21242 · cs.CV · Submitted 2026-09-18 · Read on arXiv

cs.CV

Submitted: 2026-09-18

Updated: 2026-09-18

Terminology

• Diffusion Model — 9× in this paper · explained in 8 episodes
• Diffusion Models — 7× in this paper · explained in 6 episodes
• Fidelity — 7× in this paper · explained in 2 episodes
• Alignment — 5× in this paper · explained in 1 episode
• Calibration — 5× in this paper · explained in 7 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Benchmark — 3× in this paper · explained in 2 episodes
• Latent Diffusion Model — 3× in this paper · explained in 2 episodes
• Latent Diffusion Models — 3× in this paper · explained in 2 episodes
• Training-Free Framework — 2× in this paper · explained in 2 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Clustering — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Semantic Alignment — 1× in this paper · explained in 3 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models
• InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation
• CleanStyle: Plug-and-Play Style Conditioning Purification for Text-to-Image Stylization

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