{"total":22,"rows":[{"id":"2506.22637","title":"CaO$_2$: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation","created":"2025-06-27","cited_by_count":14,"area":"diffusion"},{"id":"2507.04619","title":"Information-Guided Diffusion Sampling for Dataset Distillation","created":"2025-07-07","cited_by_count":10,"area":"diffusion"},{"id":"2505.18963","title":"MGD$^3$: Mode-Guided Dataset Distillation using Diffusion Models","created":"2025-05-25","cited_by_count":7,"area":"diffusion"},{"id":"2507.05914","title":"Accelerating Diffusion Model Training under Minimal Budgets: A Condensation-Based Perspective","created":"2025-07-08","cited_by_count":7,"area":"diffusion"},{"id":"2403.07142","title":"One Category One Prompt: Dataset Distillation using Diffusion Models","created":"2024-03-11","cited_by_count":6,"area":"diffusion"},{"id":"2508.01139","title":"Dataset Condensation with Color Compensation","created":"2025-08-02","cited_by_count":5,"area":"diffusion"},{"id":"2412.09959","title":"Towards Consistent and Efficient Dataset Distillation via Diffusion-Driven Selection","created":"2024-12-13","cited_by_count":4,"area":"diffusion"},{"id":"2510.17421","title":"Diffusion Models as Dataset Distillation Priors","created":"2025-10-20","cited_by_count":3,"area":"diffusion"},{"id":"2604.00519","title":"Learnability-Guided Diffusion for Dataset Distillation","created":"2026-04-01","cited_by_count":3,"area":"diffusion"},{"id":"2605.03877","title":"DMGD: Train-Free Dataset Distillation with Semantic-Distribution Matching in Diffusion Models","created":"2026-05-05","cited_by_count":3,"area":"diffusion"},{"id":"2508.01264","title":"Enhancing Diffusion-based Dataset Distillation via Adversary-Guided Curriculum Sampling","created":"2025-08-02","cited_by_count":2,"area":"diffusion"},{"id":"2501.07681","title":"Dataset Distillation as Pushforward Optimal Quantization","created":"2025-01-13","cited_by_count":1,"area":"diffusion"},{"id":"2507.22360","title":"GVD: Guiding Video Diffusion Model for Scalable Video Distillation","created":"2025-07-30","cited_by_count":1,"area":"diffusion"},{"id":"2606.05883","title":"Geometry-Aware Dataset Condensation for Diffusion Model Training","created":"2026-06-04","cited_by_count":1,"area":"diffusion"},{"id":"2507.13074","title":"Label-Consistent Dataset Distillation with Detector-Guided Refinement","created":"2025-07-17","cited_by_count":0,"area":"diffusion"},{"id":"2510.03016","title":"Learning Robust Diffusion Models from Imprecise Supervision","created":"2025-10-03","cited_by_count":0,"area":"diffusion"},{"id":"2512.03844","title":"CoDA: From Text-to-Image Diffusion Models to Training-Free Dataset Distillation","created":"2025-12-03","cited_by_count":0,"area":"diffusion"},{"id":"2602.05391","title":"Efficient Dataset Distillation for Pre-Trained Self-Supervised Models via Statistical Flow Matching","created":"2026-02-05","cited_by_count":0,"area":"diffusion"},{"id":"2603.13960","title":"IMS3: Breaking Distributional Aggregation in Diffusion-Based Dataset Distillation","created":"2026-03-14","cited_by_count":0,"area":"diffusion"},{"id":"2605.25022","title":"D3S2: Diffusion-Guided Dataset Distillation for Semantic Segmentation","created":"2026-05-24","cited_by_count":0,"area":"diffusion"},{"id":"2610.05252","title":"MGPO: Manifold-Guided Diffusion Alignment for Task-Aware Dataset Distillation","created":"2026-10-04","cited_by_count":0,"area":"diffusion"},{"id":"2610.16134","title":"ProMoDD: Dataset Distillation for 3D Human Motion via Prototype-Conditioned Diffusion Models","created":"2026-10-12","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}