{"total":18,"rows":[{"id":"2307.12493","title":"TF-ICON: Diffusion-Based Training-Free Cross-Domain Image Composition","created":"2023-07-24","cited_by_count":182,"area":"diffusion"},{"id":"2311.18405","title":"CAT-DM: Controllable Accelerated Virtual Try-on with Diffusion Model","created":"2023-11-30","cited_by_count":48,"area":"diffusion"},{"id":"2308.10040","title":"ControlCom: Controllable Image Composition using Diffusion Model","created":"2023-08-19","cited_by_count":43,"area":"diffusion"},{"id":"2403.12658","title":"Tuning-Free Image Customization with Image and Text Guidance","created":"2024-03-19","cited_by_count":25,"area":"diffusion"},{"id":"2306.07596","title":"Paste, Inpaint and Harmonize via Denoising: Subject-Driven Image Editing with Pre-Trained Diffusion Model","created":"2023-06-13","cited_by_count":21,"area":"diffusion"},{"id":"2311.06792","title":"IMPUS: Image Morphing with Perceptually-Uniform Sampling Using Diffusion Models","created":"2023-11-12","cited_by_count":21,"area":"diffusion"},{"id":"2403.15234","title":"Shadow Generation for Composite Image Using Diffusion model","created":"2024-03-22","cited_by_count":17,"area":"diffusion"},{"id":"2302.10167","title":"Cross-domain Compositing with Pretrained Diffusion Models","created":"2023-02-20","cited_by_count":13,"area":"diffusion"},{"id":"2504.01019","title":"MixerMDM: Learnable Composition of Human Motion Diffusion Models","created":"2025-04-01","cited_by_count":13,"area":"diffusion"},{"id":"2308.02228","title":"Painterly Image Harmonization using Diffusion Model","created":"2023-08-04","cited_by_count":12,"area":"diffusion"},{"id":"2408.03637","title":"TALE: Training-free Cross-domain Image Composition via Adaptive Latent Manipulation and Energy-guided Optimization","created":"2024-08-07","cited_by_count":9,"area":"diffusion"},{"id":"2311.14926","title":"FreePIH: Training-Free Painterly Image Harmonization with Diffusion Model","created":"2023-11-25","cited_by_count":8,"area":"diffusion"},{"id":"2401.09195","title":"Training-Free Semantic Video Composition via Pre-trained Diffusion Model","created":"2024-01-17","cited_by_count":4,"area":"diffusion"},{"id":"2408.14135","title":"Foodfusion: A Novel Approach for Food Image Composition via Diffusion Models","created":"2024-08-26","cited_by_count":4,"area":"diffusion"},{"id":"2410.19079","title":"BIFR\\\"OST: 3D-Aware Image compositing with Language Instructions","created":"2024-10-24","cited_by_count":4,"area":"diffusion"},{"id":"2409.17740","title":"AnyLogo: Symbiotic Subject-Driven Diffusion System with Gemini Status","created":"2024-09-26","cited_by_count":2,"area":"diffusion"},{"id":"2411.19652","title":"Uniform Attention Maps: Boosting Image Fidelity in Reconstruction and Editing","created":"2024-11-29","cited_by_count":2,"area":"diffusion"},{"id":"2511.02580","title":"TAUE: Training-free Noise Transplant and Cultivation Diffusion Model","created":"2025-11-04","cited_by_count":2,"area":"diffusion"}],"next_cursor":null}