{"total":32,"rows":[{"id":"2112.07804","title":"Tackling the Generative Learning Trilemma with Denoising Diffusion GANs","created":"2021-12-15","cited_by_count":516,"area":"diffusion"},{"id":"2310.02279","title":"Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion","created":"2023-10-01","cited_by_count":459,"area":"diffusion"},{"id":"2211.17091","title":"Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models","created":"2022-11-28","cited_by_count":100,"area":"diffusion"},{"id":"2404.02954","title":"Deep Generative Models through the Lens of the Manifold Hypothesis: A Survey and New Connections","created":"2024-04-03","cited_by_count":47,"area":"diffusion"},{"id":"2502.15681","title":"One-step Diffusion Models with $f$-Divergence Distribution Matching","created":"2025-02-21","cited_by_count":43,"area":"diffusion"},{"id":"2202.09671","title":"Truncated Diffusion Probabilistic Models and Diffusion-based Adversarial Auto-Encoders","created":"2022-02-19","cited_by_count":42,"area":"diffusion"},{"id":"2507.20590","title":"Harnessing Diffusion-Yielded Score Priors for Image Restoration","created":"2025-07-28","cited_by_count":36,"area":"diffusion"},{"id":"2403.01189","title":"Training Unbiased Diffusion Models From Biased Dataset","created":"2024-03-02","cited_by_count":25,"area":"diffusion"},{"id":"2304.11433","title":"Conditional Denoising Diffusion for Sequential Recommendation","created":"2023-04-22","cited_by_count":23,"area":"diffusion"},{"id":"2305.16150","title":"Unifying GANs and Score-Based Diffusion as Generative Particle Models","created":"2023-05-25","cited_by_count":21,"area":"diffusion"},{"id":"2307.08283","title":"Complexity Matters: Rethinking the Latent Space for Generative Modeling","created":"2023-07-17","cited_by_count":19,"area":"diffusion"},{"id":"2312.06348","title":"DiffAIL: Diffusion Adversarial Imitation Learning","created":"2023-12-11","cited_by_count":18,"area":"diffusion"},{"id":"2312.13314","title":"Unlocking Pre-trained Image Backbones for Semantic Image Synthesis","created":"2023-12-20","cited_by_count":6,"area":"diffusion"},{"id":"2411.01563","title":"Statistical guarantees for denoising reflected diffusion models","created":"2024-11-03","cited_by_count":6,"area":"diffusion"},{"id":"2604.11521","title":"Continuous Adversarial Flow Models","created":"2026-04-13","cited_by_count":5,"area":"diffusion"},{"id":"2402.16369","title":"Generative AI in Vision: A Survey on Models, Metrics and Applications","created":"2024-02-26","cited_by_count":4,"area":"diffusion"},{"id":"2605.29920","title":"Midpoint Generative Models","created":"2026-05-28","cited_by_count":4,"area":"diffusion"},{"id":"2307.02159","title":"DiffFlow: A Unified SDE Framework for Score-Based Diffusion Models and Generative Adversarial Networks","created":"2023-07-05","cited_by_count":3,"area":"diffusion"},{"id":"2506.00849","title":"Generalization in VAE and Diffusion Models: A Unified Information-Theoretic Analysis","created":"2025-06-01","cited_by_count":3,"area":"diffusion"},{"id":"2503.10660","title":"Text-to-3D Generation using Jensen-Shannon Score Distillation","created":"2025-03-08","cited_by_count":2,"area":"diffusion"},{"id":"2503.16117","title":"Improving Discriminator Guidance in Diffusion Models","created":"2025-03-20","cited_by_count":2,"area":"diffusion"},{"id":"2509.21167","title":"A Unified Framework for Diffusion Model Unlearning with f-Divergence","created":"2025-09-25","cited_by_count":2,"area":"diffusion"},{"id":"2602.08012","title":"A Unified Density Operator View of Flow Control and Merging","created":"2026-02-08","cited_by_count":2,"area":"diffusion"},{"id":"2511.05844","title":"Enhancing Diffusion Model Guidance through Calibration and Regularization","created":"2025-11-08","cited_by_count":1,"area":"diffusion"},{"id":"2606.22521","title":"Robust Diffusion Models via Divergence-Induced Weighted Denoising","created":"2026-06-21","cited_by_count":1,"area":"diffusion"},{"id":"2306.01654","title":"Insights into Closed-form IPM-GAN Discriminator Guidance for Diffusion Modeling","created":"2023-06-02","cited_by_count":0,"area":"diffusion"},{"id":"2501.11318","title":"Nested Annealed Training Scheme for Generative Adversarial Networks","created":"2025-01-20","cited_by_count":0,"area":"diffusion"},{"id":"2505.04992","title":"Boosting Statistic Learning with Synthetic Data from Pretrained Large Models","created":"2025-05-08","cited_by_count":0,"area":"diffusion"},{"id":"2508.01725","title":"Imbalance-Robust and Sampling-Efficient Continuous Conditional GANs via Adaptive Vicinal Learning and Auxiliary Regularization","created":"2025-08-03","cited_by_count":0,"area":"diffusion"},{"id":"2510.17699","title":"GAS: Improving Discretization of Diffusion ODEs via Generalized Adversarial Solver","created":"2025-10-20","cited_by_count":0,"area":"diffusion"},{"id":"2602.08689","title":"Learning To Sample From Diffusion Models Via Inverse Reinforcement Learning","created":"2026-02-09","cited_by_count":0,"area":"diffusion"},{"id":"2605.02989","title":"Information Theory and Statistical Learning","created":"2026-05-04","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}