{"total":55,"rows":[{"id":"2501.15785","title":"Memorization and Regularization in Generative Diffusion Models","created":"2025-01-27","cited_by_count":40,"area":"diffusion"},{"id":"2509.09672","title":"Locality in Image Diffusion Models Emerges from Data Statistics","created":"2025-09-11","cited_by_count":25,"area":"diffusion"},{"id":"2502.20946","title":"Generative Uncertainty in Diffusion Models","created":"2025-02-28","cited_by_count":23,"area":"diffusion"},{"id":"2411.16171","title":"Image Generation Diversity Issues and How to Tame Them","created":"2024-11-25","cited_by_count":22,"area":"diffusion"},{"id":"2504.10283","title":"$\\alpha$-Flow: A Unified Framework for Continuous-State Discrete Flow Matching Models","created":"2025-04-14","cited_by_count":18,"area":"diffusion"},{"id":"2502.04725","title":"Can Diffusion Models Learn Hidden Inter-Feature Rules Behind Images?","created":"2025-02-07","cited_by_count":15,"area":"diffusion"},{"id":"2502.19499","title":"On the Interpolation Effect of Score Smoothing in Diffusion Models","created":"2025-02-26","cited_by_count":15,"area":"diffusion"},{"id":"2603.05630","title":"Making Reconstruction FID Predictive of Diffusion Generation FID","created":"2026-03-05","cited_by_count":13,"area":"diffusion"},{"id":"2502.16872","title":"Mitigating Hallucinations in Diffusion Models through Adaptive Attention Modulation","created":"2025-02-24","cited_by_count":11,"area":"diffusion"},{"id":"2503.01075","title":"Tackling Hallucination from Conditional Models for Medical Image Reconstruction with DynamicDPS","created":"2025-03-03","cited_by_count":11,"area":"diffusion"},{"id":"2503.03595","title":"Towards Understanding Text Hallucination of Diffusion Models via Local Generation Bias","created":"2025-03-05","cited_by_count":11,"area":"diffusion"},{"id":"2508.06614","title":"Local Diffusion Models and Phases of Data Distributions","created":"2025-08-08","cited_by_count":8,"area":"diffusion"},{"id":"2510.13080","title":"Counting Hallucinations in Diffusion Models","created":"2025-10-15","cited_by_count":6,"area":"diffusion"},{"id":"2406.16272","title":"Repairing Catastrophic-Neglect in Text-to-Image Diffusion Models via Attention-Guided Feature Enhancement","created":"2024-06-24","cited_by_count":5,"area":"diffusion"},{"id":"2510.05356","title":"Mitigating Diffusion Model Hallucinations with Dynamic Guidance","created":"2025-10-06","cited_by_count":5,"area":"diffusion"},{"id":"2602.01864","title":"Trust but Verify: Adaptive Conditioning for Reference-Based Diffusion Super-Resolution via Implicit Reference Correlation Modeling","created":"2026-02-02","cited_by_count":5,"area":"diffusion"},{"id":"2505.10999","title":"Conditioning Residuals for Diffusion Models via Representation Feedback","created":"2025-05-16","cited_by_count":3,"area":"diffusion"},{"id":"2506.18747","title":"ContinualFlow: Learning and Unlearning with Neural Flow Matching","created":"2025-06-23","cited_by_count":3,"area":"diffusion"},{"id":"2507.12201","title":"RODS: Robust Optimization Inspired Diffusion Sampling for Detecting and Reducing Hallucination in Generative Models","created":"2025-07-16","cited_by_count":3,"area":"diffusion"},{"id":"2509.22723","title":"Responsible Diffusion: A Comprehensive Survey on Safety, Ethics, and Trust in Diffusion Models","created":"2025-09-25","cited_by_count":3,"area":"diffusion"},{"id":"2408.12720","title":"Generating Realistic X-ray Scattering Images Using Stable Diffusion and Human-in-the-loop Annotations","created":"2024-08-22","cited_by_count":2,"area":"diffusion"},{"id":"2505.20123","title":"Understanding Generalization in Diffusion Distillation via Probability Flow Distance","created":"2025-05-26","cited_by_count":2,"area":"diffusion"},{"id":"2508.15972","title":"UnPose: Uncertainty-Guided Diffusion Priors for Zero-Shot Pose Estimation","created":"2025-08-21","cited_by_count":2,"area":"diffusion"},{"id":"2511.07496","title":"Laplacian Score Sharpening for Mitigating Hallucination in Diffusion Models","created":"2025-11-10","cited_by_count":2,"area":"diffusion"},{"id":"2512.01675","title":"GRASP: Guided Residual Adapters with Sample-wise Partitioning","created":"2025-12-01","cited_by_count":2,"area":"diffusion"},{"id":"2601.21284","title":"PILD: Physics-Informed Learning via Diffusion","created":"2026-01-29","cited_by_count":2,"area":"diffusion"},{"id":"2602.09170","title":"Quantifying Epistemic Uncertainty in Diffusion Models","created":"2026-02-09","cited_by_count":2,"area":"diffusion"},{"id":"2603.13419","title":"Diffusion Models Memorize in Training -- and Generalize in Inference","created":"2026-03-12","cited_by_count":2,"area":"diffusion"},{"id":"2410.00731","title":"Improved Generation of Synthetic Imaging Data Using Feature-Aligned Diffusion","created":"2024-10-01","cited_by_count":1,"area":"diffusion"},{"id":"2501.13241","title":"State Combinatorial Generalization In Decision Making With Conditional Diffusion Models","created":"2025-01-22","cited_by_count":1,"area":"diffusion"},{"id":"2505.16474","title":"Foresight Diffusion: Improving Sampling Consistency in Predictive Diffusion Models","created":"2025-05-22","cited_by_count":1,"area":"diffusion"},{"id":"2506.11378","title":"The Effect of Stochasticity in Score-Based Diffusion Sampling: a KL Divergence Analysis","created":"2025-06-13","cited_by_count":1,"area":"diffusion"},{"id":"2507.07947","title":"Reconstructing Template-Memorized Images from Natural Prompts","created":"2025-07-10","cited_by_count":1,"area":"diffusion"},{"id":"2508.16154","title":"On the Collapse Errors Induced by the Deterministic Sampler for Diffusion Models","created":"2025-08-22","cited_by_count":1,"area":"diffusion"},{"id":"2510.22899","title":"On the Anisotropy of Score-Based Generative Models","created":"2025-10-27","cited_by_count":1,"area":"diffusion"},{"id":"2512.08774","title":"Refining Visual Artifacts in Diffusion Models via Explainable AI-based Flaw Activation Maps","created":"2025-12-09","cited_by_count":1,"area":"diffusion"},{"id":"2512.18736","title":"Is Your Conditional Diffusion Model Actually Denoising?","created":"2025-12-21","cited_by_count":1,"area":"diffusion"},{"id":"2605.05026","title":"Local Intrinsic Dimension Unveils Hallucinations in Diffusion Models","created":"2026-05-06","cited_by_count":1,"area":"diffusion"},{"id":"2507.10861","title":"Visually grounded emotion regulation via diffusion models and user-driven reappraisal","created":"2025-07-14","cited_by_count":0,"area":"diffusion"},{"id":"2509.03794","title":"Fitting Image Diffusion Models on Video Datasets","created":"2025-09-04","cited_by_count":0,"area":"diffusion"},{"id":"2510.04533","title":"TAG: Tangential Amplifying Guidance for Hallucination-Resistant Sampling","created":"2025-10-06","cited_by_count":0,"area":"diffusion"},{"id":"2512.13690","title":"DiffusionBrowser: Interactive Diffusion Previews via Multi-Branch Decoders","created":"2025-12-15","cited_by_count":0,"area":"diffusion"},{"id":"2601.20260","title":"Reversible Efficient Diffusion for Image Fusion","created":"2026-01-28","cited_by_count":0,"area":"diffusion"},{"id":"2603.09657","title":"When to Lock Attention: Training-Free KV Control in Video Diffusion","created":"2026-03-10","cited_by_count":0,"area":"diffusion"},{"id":"2604.10040","title":"Intra-finger Variability of Diffusion-based Latent Fingerprint Generation","created":"2026-04-11","cited_by_count":0,"area":"diffusion"},{"id":"2604.17673","title":"Grokking of Diffusion Models: Case Study on Modular Addition","created":"2026-04-20","cited_by_count":0,"area":"diffusion"},{"id":"2604.18804","title":"Geometric Decoupling: Diagnosing the Structural Instability of Latent","created":"2026-04-20","cited_by_count":0,"area":"diffusion"},{"id":"2606.00377","title":"Score-Control for Hallucination Reduction in Diffusion Models","created":"2026-05-29","cited_by_count":0,"area":"diffusion"},{"id":"2606.02331","title":"Hallucination-Aware Diffusion Sampling for Inverse Problems via Robust Prior Updates","created":"2026-06-01","cited_by_count":0,"area":"diffusion"},{"id":"2606.13451","title":"Uncertainty Estimation for Molecular Diffusion Models","created":"2026-06-11","cited_by_count":0,"area":"diffusion"},{"id":"2606.14570","title":"Regional Climate Model Emulation with Diffusion Approaches: What is the Added Value of Generative Machine Learning?","created":"2026-06-12","cited_by_count":0,"area":"diffusion"},{"id":"2607.09753","title":"Unified Backbone Refinement for Diffusion Models via Internal-Latent Analysis","created":"2026-07-04","cited_by_count":0,"area":"diffusion"},{"id":"2610.01016","title":"Scaling and Distilling Text Embeddings for Better Diffusibility","created":"2026-10-01","cited_by_count":0,"area":"diffusion"},{"id":"2610.14281","title":"TGSR: Text-Grounded Diffusion for Faithful Image Super-Resolution","created":"2026-10-09","cited_by_count":0,"area":"diffusion"},{"id":"2610.16759","title":"Image Tokenizers Should Be Trained Between Images","created":"2026-10-12","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}