{"total":39,"rows":[{"id":"2309.17400","title":"Directly Fine-Tuning Diffusion Models on Differentiable Rewards","created":"2023-09-29","cited_by_count":448,"area":"diffusion"},{"id":"2303.14420","title":"Human Preference Score: Better Aligning Text-to-Image Models with Human Preference","created":"2023-03-25","cited_by_count":287,"area":"diffusion"},{"id":"2403.12015","title":"Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation","created":"2024-03-18","cited_by_count":279,"area":"diffusion"},{"id":"2306.04675","title":"Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models","created":"2023-06-07","cited_by_count":205,"area":"diffusion"},{"id":"2312.09008","title":"Style Injection in Diffusion: A Training-free Approach for Adapting Large-scale Diffusion Models for Style Transfer","created":"2023-12-11","cited_by_count":196,"area":"diffusion"},{"id":"2303.15233","title":"Text-to-Image Diffusion Models are Zero-Shot Classifiers","created":"2023-03-27","cited_by_count":143,"area":"diffusion"},{"id":"2203.17260","title":"Generating High Fidelity Data from Low-density Regions using Diffusion Models","created":"2022-03-31","cited_by_count":78,"area":"diffusion"},{"id":"2402.00045","title":"Detecting Multimedia Generated by Large AI Models: A Survey","created":"2024-01-22","cited_by_count":76,"area":"diffusion"},{"id":"2307.02347","title":"Detecting Images Generated by Deep Diffusion Models using their Local Intrinsic Dimensionality","created":"2023-07-05","cited_by_count":44,"area":"diffusion"},{"id":"2311.16102","title":"Diffusion-TTA: Test-time Adaptation of Discriminative Models via Generative Feedback","created":"2023-11-27","cited_by_count":27,"area":"diffusion"},{"id":"2306.00974","title":"Discovering Failure Modes of Text-guided Diffusion Models via Adversarial Search","created":"2023-06-01","cited_by_count":25,"area":"diffusion"},{"id":"2403.18775","title":"ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object","created":"2024-03-27","cited_by_count":22,"area":"diffusion"},{"id":"2502.10236","title":"Shaping Inductive Bias in Diffusion Models through Frequency-Based Noise Control","created":"2025-02-14","cited_by_count":11,"area":"diffusion"},{"id":"2312.02615","title":"Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models","created":"2023-12-05","cited_by_count":9,"area":"diffusion"},{"id":"2408.03637","title":"TALE: Training-free Cross-domain Image Composition via Adaptive Latent Manipulation and Energy-guided Optimization","created":"2024-08-07","cited_by_count":9,"area":"diffusion"},{"id":"2403.07214","title":"Text-to-Image Diffusion Models are Great Sketch-Photo Matchmakers","created":"2024-03-12","cited_by_count":8,"area":"diffusion"},{"id":"2403.15309","title":"Controlled Training Data Generation with Diffusion Models","created":"2024-03-22","cited_by_count":8,"area":"diffusion"},{"id":"2503.17226","title":"DDB: Diffusion Driven Balancing to Address Spurious Correlations","created":"2025-03-21","cited_by_count":6,"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":"2311.12981","title":"SD-NAE: Generating Natural Adversarial Examples with Stable Diffusion","created":"2023-11-21","cited_by_count":5,"area":"diffusion"},{"id":"2404.02618","title":"Diffexplainer: Towards Cross-modal Global Explanations with Diffusion Models","created":"2024-04-03","cited_by_count":5,"area":"diffusion"},{"id":"2405.03243","title":"Mind the Gap Between Synthetic and Real: Utilizing Transfer Learning to Probe the Boundaries of Stable Diffusion Generated Data","created":"2024-05-06","cited_by_count":5,"area":"diffusion"},{"id":"2409.10385","title":"Mamba-ST: State Space Model for Efficient Style Transfer","created":"2024-09-16","cited_by_count":5,"area":"diffusion"},{"id":"2304.02963","title":"Benchmarking Robustness to Text-Guided Corruptions","created":"2023-04-06","cited_by_count":4,"area":"diffusion"},{"id":"2405.16759","title":"Greedy Growing Enables High-Resolution Pixel-Based Diffusion Models","created":"2024-05-27","cited_by_count":3,"area":"diffusion"},{"id":"2506.01511","title":"Enhancing Diffusion-based Unrestricted Adversarial Attacks via Adversary Preferences Alignment","created":"2025-06-02","cited_by_count":3,"area":"diffusion"},{"id":"2507.10578","title":"When and Where do Data Poisons Attack Textual Inversion?","created":"2025-07-11","cited_by_count":2,"area":"diffusion"},{"id":"2507.17651","title":"CNS-Bench: Benchmarking Image Classifier Robustness Under Continuous Nuisance Shifts","created":"2025-07-23","cited_by_count":2,"area":"diffusion"},{"id":"2510.09660","title":"Learning What Matters: Steering Diffusion via Spectrally Anisotropic Forward Noise","created":"2025-10-07","cited_by_count":2,"area":"diffusion"},{"id":"2507.01573","title":"A Gift from the Integration of Discriminative and Diffusion-based Generative Learning: Boundary Refinement Remote Sensing Semantic Segmentation","created":"2025-07-02","cited_by_count":1,"area":"diffusion"},{"id":"2510.01841","title":"Leveraging Prior Knowledge of Diffusion Model for Person Search","created":"2025-10-02","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":"2609.02748","title":"Balancing Frequencies and Pixels in Flow Matching","created":"2026-09-02","cited_by_count":1,"area":"diffusion"},{"id":"2411.16079","title":"Debiasing Classifiers by Amplifying Bias with Latent Diffusion and Large Language Models","created":"2024-11-25","cited_by_count":0,"area":"diffusion"},{"id":"2507.05146","title":"VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems","created":"2025-07-07","cited_by_count":0,"area":"diffusion"},{"id":"2508.14437","title":"FOCUS: Frequency-Optimized Conditioning of DiffUSion Models for mitigating catastrophic forgetting during Test-Time Adaptation","created":"2025-08-20","cited_by_count":0,"area":"diffusion"},{"id":"2511.18593","title":"Generative Myopia: Why Diffusion Models Fail at Structure","created":"2025-11-23","cited_by_count":0,"area":"diffusion"},{"id":"2512.22272","title":"Human-Aligned Generative Perception: Bridging Psychophysics and Generative Models","created":"2025-12-25","cited_by_count":0,"area":"diffusion"},{"id":"2605.26538","title":"Scheduled Style Injection: Expanding the Style-Content Pareto Frontier in Training-Free Diffusion-based Style Transfer","created":"2026-05-26","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}