{"total":32,"rows":[{"id":"2401.12244","title":"Large-scale Reinforcement Learning for Diffusion Models","created":"2024-01-20","cited_by_count":78,"area":"diffusion"},{"id":"2305.06402","title":"Analyzing Bias in Diffusion-based Face Generation Models","created":"2023-05-10","cited_by_count":46,"area":"diffusion"},{"id":"2305.11080","title":"Inspecting the Geographical Representativeness of Images from Text-to-Image Models","created":"2023-05-18","cited_by_count":44,"area":"diffusion"},{"id":"2410.16942","title":"DiP-GO: A Diffusion Pruner via Few-step Gradient Optimization","created":"2024-10-22","cited_by_count":43,"area":"diffusion"},{"id":"2305.13308","title":"If at First You Don't Succeed, Try, Try Again: Faithful Diffusion-based Text-to-Image Generation by Selection","created":"2023-05-22","cited_by_count":40,"area":"diffusion"},{"id":"2312.03027","title":"Stable Diffusion Exposed: Gender Bias from Prompt to Image","created":"2023-12-05","cited_by_count":25,"area":"diffusion"},{"id":"2403.06741","title":"Distribution-Aware Data Expansion with Diffusion Models","created":"2024-03-11","cited_by_count":20,"area":"diffusion"},{"id":"2408.15094","title":"Constrained Diffusion Models via Dual Training","created":"2024-08-27","cited_by_count":20,"area":"diffusion"},{"id":"2404.13706","title":"Concept Arithmetics for Circumventing Concept Inhibition in Diffusion Models","created":"2024-04-21","cited_by_count":12,"area":"diffusion"},{"id":"2406.15213","title":"Backdooring Bias ($B^2$) into Stable Diffusion Models","created":"2024-06-21","cited_by_count":12,"area":"diffusion"},{"id":"2408.00001","title":"Replication in Visual Diffusion Models: A Survey and Outlook","created":"2024-07-07","cited_by_count":11,"area":"diffusion"},{"id":"2402.14577","title":"Debiasing Text-to-Image Diffusion Models","created":"2024-02-22","cited_by_count":10,"area":"diffusion"},{"id":"2312.10065","title":"Exploring Social Bias in Downstream Applications of Text-to-Image Foundation Models","created":"2023-12-05","cited_by_count":7,"area":"diffusion"},{"id":"2401.14425","title":"No Longer Trending on Artstation: Prompt Analysis of Generative AI Art","created":"2024-01-24","cited_by_count":7,"area":"diffusion"},{"id":"2503.01872","title":"FairGen: Controlling Sensitive Attributes for Fair Generations in Diffusion Models via Adaptive Latent Guidance","created":"2025-02-25","cited_by_count":7,"area":"diffusion"},{"id":"2510.21363","title":"FairImagen: Post-Processing for Bias Mitigation in Text-to-Image Models","created":"2025-10-24","cited_by_count":7,"area":"diffusion"},{"id":"2510.15783","title":"ReCon: Region-Controllable Data Augmentation with Rectification and Alignment for Object Detection","created":"2025-10-17","cited_by_count":6,"area":"diffusion"},{"id":"2312.14976","title":"Gaussian Harmony: Attaining Fairness in Diffusion-based Face Generation Models","created":"2023-12-21","cited_by_count":5,"area":"diffusion"},{"id":"2412.08480","title":"InvDiff: Invariant Guidance for Bias Mitigation in Diffusion Models","created":"2024-12-11","cited_by_count":4,"area":"diffusion"},{"id":"2501.15775","title":"Do Existing Testing Tools Really Uncover Gender Bias in Text-to-Image Models?","created":"2025-01-27","cited_by_count":4,"area":"diffusion"},{"id":"2504.01819","title":"Implicit Bias Injection Attacks against Text-to-Image Diffusion Models","created":"2025-04-02","cited_by_count":4,"area":"diffusion"},{"id":"2310.11778","title":"Language Agents for Detecting Implicit Stereotypes in Text-to-image Models at Scale","created":"2023-10-18","cited_by_count":2,"area":"diffusion"},{"id":"2407.12579","title":"The Fabrication of Reality and Fantasy: Scene Generation with LLM-Assisted Prompt Interpretation","created":"2024-07-17","cited_by_count":2,"area":"diffusion"},{"id":"2410.12700","title":"Embedding an Ethical Mind: Aligning Text-to-Image Synthesis via Lightweight Value Optimization","created":"2024-10-16","cited_by_count":2,"area":"diffusion"},{"id":"2501.09014","title":"How Do Generative Models Draw a Software Engineer? A Case Study on Stable Diffusion Bias","created":"2025-01-15","cited_by_count":2,"area":"diffusion"},{"id":"2312.04810","title":"RS-Corrector: Correcting the Racial Stereotypes in Latent Diffusion Models","created":"2023-12-08","cited_by_count":1,"area":"diffusion"},{"id":"2506.18428","title":"How Robust is Model Editing after Fine-Tuning? An Empirical Study on Text-to-Image Diffusion Models","created":"2025-06-23","cited_by_count":1,"area":"diffusion"},{"id":"2604.21036","title":"Who Defines Fairness? Target-Based Prompting for Demographic Representation in Generative Models","created":"2026-04-22","cited_by_count":1,"area":"diffusion"},{"id":"2507.15663","title":"SustainDiffusion: Optimising the Social and Environmental Sustainability of Stable Diffusion Models","created":"2025-07-21","cited_by_count":0,"area":"diffusion"},{"id":"2512.08724","title":"Exposing Hidden Biases in Text-to-Image Models via Automated Prompt Search","created":"2025-12-09","cited_by_count":0,"area":"diffusion"},{"id":"2607.03180","title":"FairFlow: Demystifying and Mitigating Stereotype Bias in Text-to-Image Diffusion Transformers","created":"2026-07-03","cited_by_count":0,"area":"diffusion"},{"id":"2607.03397","title":"Efficient bias mitigation in T2I diffusion models using Concept Graphs","created":"2026-07-03","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}