{"total":14,"rows":[{"id":"2405.20494","title":"Slight Corruption in Pre-training Data Makes Better Diffusion Models","created":"2024-05-30","cited_by_count":9,"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":"2409.16949","title":"DALDA: Data Augmentation Leveraging Diffusion Model and LLM with Adaptive Guidance Scaling","created":"2024-09-25","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":"2505.10551","title":"Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data","created":"2025-05-15","cited_by_count":4,"area":"diffusion"},{"id":"2403.05170","title":"DiffuLT: How to Make Diffusion Model Useful for Long-tail Recognition","created":"2024-03-08","cited_by_count":3,"area":"diffusion"},{"id":"2406.06134","title":"DiffInject: Revisiting Debias via Synthetic Data Generation using Diffusion-based Style Injection","created":"2024-06-10","cited_by_count":1,"area":"diffusion"},{"id":"2502.04475","title":"Augmented Conditioning Is Enough For Effective Training Image Generation","created":"2025-02-06","cited_by_count":1,"area":"diffusion"},{"id":"2604.13685","title":"EMGFlow: Robust and Efficient Surface Electromyography Synthesis via Flow Matching","created":"2026-04-15","cited_by_count":1,"area":"diffusion"},{"id":"2406.04295","title":"Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment","created":"2024-06-06","cited_by_count":0,"area":"diffusion"},{"id":"2410.12279","title":"Beyond Oversmoothing: Evaluating DDPM and MSE for Scalable Speech Synthesis in ASR","created":"2024-10-16","cited_by_count":0,"area":"diffusion"},{"id":"2602.19708","title":"ChimeraLoRA: Multi-Head LoRA-Guided Synthetic Datasets","created":"2026-02-23","cited_by_count":0,"area":"diffusion"},{"id":"2605.19289","title":"What Makes Synthetic Data Effective in Image Segmentation","created":"2026-05-19","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}