{"total":35,"rows":[{"id":"2211.13203","title":"Inversion-Based Style Transfer with Diffusion Models","created":"2022-11-23","cited_by_count":291,"area":"diffusion"},{"id":"2312.09008","title":"Style Injection in Diffusion: A Training-free Approach for Adapting Large-scale Diffusion Models for Style Transfer","created":"2023-12-11","cited_by_count":196,"area":"diffusion"},{"id":"2308.07863","title":"StyleDiffusion: Controllable Disentangled Style Transfer via Diffusion Models","created":"2023-08-15","cited_by_count":155,"area":"diffusion"},{"id":"2305.16225","title":"ProSpect: Prompt Spectrum for Attribute-Aware Personalization of Diffusion Models","created":"2023-05-25","cited_by_count":75,"area":"diffusion"},{"id":"2403.06951","title":"DEADiff: An Efficient Stylization Diffusion Model with Disentangled Representations","created":"2024-03-11","cited_by_count":68,"area":"diffusion"},{"id":"2402.11846","title":"UnlearnCanvas: Stylized Image Dataset for Enhanced Machine Unlearning Evaluation in Diffusion Models","created":"2024-02-19","cited_by_count":50,"area":"diffusion"},{"id":"2312.12142","title":"FontDiffuser: One-Shot Font Generation via Denoising Diffusion with Multi-Scale Content Aggregation and Style Contrastive Learning","created":"2023-12-19","cited_by_count":48,"area":"diffusion"},{"id":"2311.05463","title":"ControlStyle: Text-Driven Stylized Image Generation Using Diffusion Priors","created":"2023-11-09","cited_by_count":40,"area":"diffusion"},{"id":"2409.02543","title":"StyleTokenizer: Defining Image Style by a Single Instance for Controlling Diffusion Models","created":"2024-09-04","cited_by_count":32,"area":"diffusion"},{"id":"2209.13360","title":"Draw Your Art Dream: Diverse Digital Art Synthesis with Multimodal Guided Diffusion","created":"2022-09-27","cited_by_count":30,"area":"diffusion"},{"id":"2401.15636","title":"FreeStyle: Free Lunch for Text-guided Style Transfer using Diffusion Models","created":"2024-01-28","cited_by_count":22,"area":"diffusion"},{"id":"2311.15040","title":"InstaStyle: Inversion Noise of a Stylized Image is Secretly a Style Adviser","created":"2023-11-25","cited_by_count":17,"area":"diffusion"},{"id":"2311.16491","title":"$Z^*$: Zero-shot Style Transfer via Attention Rearrangement","created":"2023-11-25","cited_by_count":17,"area":"diffusion"},{"id":"2410.20084","title":"UniVST: A Unified Framework for Training-free Localized Video Style Transfer","created":"2024-10-26","cited_by_count":16,"area":"diffusion"},{"id":"2305.05464","title":"Style-A-Video: Agile Diffusion for Arbitrary Text-based Video Style Transfer","created":"2023-05-09","cited_by_count":14,"area":"diffusion"},{"id":"2503.07307","title":"AttenST: A Training-Free Attention-Driven Style Transfer Framework with Pre-Trained Diffusion Models","created":"2025-03-10","cited_by_count":9,"area":"diffusion"},{"id":"2303.06464","title":"PARASOL: Parametric Style Control for Diffusion Image Synthesis","created":"2023-03-11","cited_by_count":5,"area":"diffusion"},{"id":"2307.04157","title":"DIFF-NST: Diffusion Interleaving For deFormable Neural Style Transfer","created":"2023-07-09","cited_by_count":5,"area":"diffusion"},{"id":"2504.13061","title":"ArtistAuditor: Auditing Artist Style Pirate in Text-to-Image Generation Models","created":"2025-04-17","cited_by_count":5,"area":"diffusion"},{"id":"2508.03402","title":"SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models","created":"2025-08-05","cited_by_count":5,"area":"diffusion"},{"id":"2306.09330","title":"ArtFusion: Controllable Arbitrary Style Transfer using Dual Conditional Latent Diffusion Models","created":"2023-06-15","cited_by_count":4,"area":"diffusion"},{"id":"2408.03558","title":"D2Styler: Advancing Arbitrary Style Transfer with Discrete Diffusion Methods","created":"2024-08-07","cited_by_count":3,"area":"diffusion"},{"id":"2505.19063","title":"Training-free Stylized Text-to-Image Generation with Fast Inference","created":"2025-05-25","cited_by_count":3,"area":"diffusion"},{"id":"2603.10354","title":"StyleGallery: Training-free and Semantic-aware Personalized Style Transfer from Arbitrary Image References","created":"2026-03-11","cited_by_count":2,"area":"diffusion"},{"id":"2506.06802","title":"Training-Free Diffusion Framework for Stylized Image Generation with Identity Preservation","created":"2025-06-07","cited_by_count":1,"area":"diffusion"},{"id":"2508.12784","title":"Leveraging Diffusion Models for Stylization using Multiple Style Images","created":"2025-08-18","cited_by_count":1,"area":"diffusion"},{"id":"2510.10497","title":"Jigsaw3D: Disentangled 3D Style Transfer via Patch Shuffling and Masking","created":"2025-10-12","cited_by_count":1,"area":"diffusion"},{"id":"2512.12963","title":"SCAdapter: Content-Style Disentanglement for Diffusion Style Transfer","created":"2025-12-15","cited_by_count":1,"area":"diffusion"},{"id":"2408.10533","title":"FAGStyle: Feature Augmentation on Geodesic Surface for Zero-shot Text-guided Diffusion Image Style Transfer","created":"2024-08-20","cited_by_count":0,"area":"diffusion"},{"id":"2509.18948","title":"One-shot Embroidery Customization via Contrastive LoRA Modulation","created":"2025-09-23","cited_by_count":0,"area":"diffusion"},{"id":"2511.20986","title":"Inversion-Free Style Transfer with Dual Rectified Flows","created":"2025-11-26","cited_by_count":0,"area":"diffusion"},{"id":"2601.06605","title":"Sissi: Zero-shot Style-guided Image Synthesis via Semantic-style Integration","created":"2026-01-10","cited_by_count":0,"area":"diffusion"},{"id":"2605.26538","title":"Scheduled Style Injection: Expanding the Style-Content Pareto Frontier in Training-Free Diffusion-based Style Transfer","created":"2026-05-26","cited_by_count":0,"area":"diffusion"},{"id":"2607.12404","title":"Contrastive-Augmented Flow Matching for Style-Content Disentanglement","created":"2026-07-14","cited_by_count":0,"area":"diffusion"},{"id":"2608.11546","title":"Through Van Gogh's Eyes: Global Style Transfer with Diffusion Model","created":"2026-08-12","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}