{"total":16,"rows":[{"id":"2407.10910","title":"DataDream: Few-shot Guided Dataset Generation","created":"2024-07-15","cited_by_count":29,"area":"diffusion"},{"id":"2403.12803","title":"DreamDA: Generative Data Augmentation with Diffusion Models","created":"2024-03-19","cited_by_count":24,"area":"diffusion"},{"id":"2403.06741","title":"Distribution-Aware Data Expansion with Diffusion Models","created":"2024-03-11","cited_by_count":20,"area":"diffusion"},{"id":"2311.18158","title":"HiPA: Enabling One-Step Text-to-Image Diffusion Models via High-Frequency-Promoting Adaptation","created":"2023-11-30","cited_by_count":16,"area":"diffusion"},{"id":"2408.16266","title":"Inversion Circle Interpolation: Diffusion-based Image Augmentation for Data-scarce Classification","created":"2024-08-29","cited_by_count":11,"area":"diffusion"},{"id":"2602.19946","title":"When Pretty Isn't Useful: Investigating Why Modern Text-to-Image Models Fail as Reliable Training Data Generators","created":"2026-02-23","cited_by_count":6,"area":"diffusion"},{"id":"2405.18029","title":"Are Images Indistinguishable to Humans Also Indistinguishable to Classifiers?","created":"2024-05-28","cited_by_count":5,"area":"diffusion"},{"id":"2503.09122","title":"Training Data Provenance Verification: Did Your Model Use Synthetic Data from My Generative Model for Training?","created":"2025-03-12","cited_by_count":4,"area":"diffusion"},{"id":"2503.12563","title":"Diffusion on Graph: Augmentation of Graph Structure for Node Classification","created":"2025-03-16","cited_by_count":4,"area":"diffusion"},{"id":"2502.01980","title":"Generative Data Mining with Longtail-Guided Diffusion","created":"2025-02-04","cited_by_count":3,"area":"diffusion"},{"id":"2411.18109","title":"Difficulty Controlled Diffusion Model for Synthesizing Effective Training Data","created":"2024-11-27","cited_by_count":2,"area":"diffusion"},{"id":"2504.06432","title":"D-Feat Occlusions: Diffusion Features for Robustness to Partial Visual Occlusions in Object Recognition","created":"2025-04-08","cited_by_count":2,"area":"diffusion"},{"id":"2504.12833","title":"SPIE: Semantic and Structural Post-Training of Image Editing Diffusion Models with AI feedback","created":"2025-04-17","cited_by_count":2,"area":"diffusion"},{"id":"2505.21574","title":"Do We Need All the Synthetic Data? Targeted Image Augmentation via Diffusion Models","created":"2025-05-27","cited_by_count":2,"area":"diffusion"},{"id":"2410.06841","title":"Boosting Few-Shot Detection with Large Language Models and Layout-to-Image Synthesis","created":"2024-10-09","cited_by_count":1,"area":"diffusion"},{"id":"2605.27343","title":"Towards Controllable Image Generation through Representation-Conditioned Diffusion Models","created":"2026-05-26","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}