{"total":14,"rows":[{"id":"2506.09027","title":"Diffuse and Disperse: Image Generation with Representation Regularization","created":"2025-06-10","cited_by_count":70,"area":"diffusion"},{"id":"2603.28718","title":"Stepwise Credit Assignment for GRPO on Flow-Matching Models","created":"2026-03-30","cited_by_count":10,"area":"diffusion"},{"id":"2603.04239","title":"DiverseDiT: Towards Diverse Representation Learning in Diffusion Transformers","created":"2026-03-04","cited_by_count":5,"area":"diffusion"},{"id":"2510.21986","title":"Sprint: Sparse-Dense Residual Fusion for Efficient Diffusion Transformers","created":"2025-10-24","cited_by_count":4,"area":"diffusion"},{"id":"2601.05823","title":"Boosting Latent Diffusion Models via Disentangled Representation Alignment","created":"2026-01-09","cited_by_count":4,"area":"diffusion"},{"id":"2607.02220","title":"DetailAnywhere: Fashion Detail Generation via Cross-Modal Feature Alignment Distillation","created":"2026-07-02","cited_by_count":3,"area":"diffusion"},{"id":"2512.23426","title":"Direct Diffusion Score Preference Optimization via Stepwise Contrastive Policy-Pair Supervision","created":"2025-12-29","cited_by_count":2,"area":"diffusion"},{"id":"2603.22364","title":"MCLR: Improving Conditional Modeling via Inter-Class Likelihood-Ratio Maximization and Unifying Classifier-Free Guidance with Alignment Objectives","created":"2026-03-23","cited_by_count":2,"area":"diffusion"},{"id":"2512.08648","title":"Repulsor: Accelerating Generative Modeling with a Contrastive Memory Bank","created":"2025-12-09","cited_by_count":1,"area":"diffusion"},{"id":"2605.09433","title":"Offline Preference Optimization for Rectified Flow with Noise-Tracked Pairs","created":"2026-05-10","cited_by_count":1,"area":"diffusion"},{"id":"2608.03082","title":"DiverseDiT++: Quantifying, Analyzing, and Promoting Representation Diversity in Diffusion Transformers","created":"2026-08-04","cited_by_count":1,"area":"diffusion"},{"id":"2605.30038","title":"Alignment-Guided Score Matching for Text-to-Image Alignment in Diffusion Models","created":"2026-05-28","cited_by_count":0,"area":"diffusion"},{"id":"2608.24068","title":"Representation Learning in Diffusion and Flow-based Model: An Application Aspect","created":"2026-08-25","cited_by_count":0,"area":"diffusion"},{"id":"2609.18488","title":"Beyond Random Couplings: Contrastive Noise Alignment in Generative Flows","created":"2026-09-16","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}