{"total":31,"rows":[{"id":"2408.12692","title":"Rethinking Training for De-biasing Text-to-Image Generation: Unlocking the Potential of Stable Diffusion","created":"2024-08-22","cited_by_count":22,"area":"diffusion"},{"id":"2408.05083","title":"PreciseControl: Enhancing Text-To-Image Diffusion Models with Fine-Grained Attribute Control","created":"2024-07-24","cited_by_count":20,"area":"diffusion"},{"id":"2504.06752","title":"Compass Control: Multi Object Orientation Control for Text-to-Image Generation","created":"2025-04-09","cited_by_count":11,"area":"diffusion"},{"id":"2506.13298","title":"Fair Generation without Unfair Distortions: Debiasing Text-to-Image Generation with Entanglement-Free Attention","created":"2025-06-16","cited_by_count":9,"area":"diffusion"},{"id":"2412.18810","title":"FairGen: Enhancing Fairness in Text-to-Image Diffusion Models via Self-Discovering Latent Directions","created":"2024-12-25","cited_by_count":8,"area":"diffusion"},{"id":"2504.15397","title":"MirrorVerse: Pushing Diffusion Models to Realistically Reflect the World","created":"2025-04-21","cited_by_count":8,"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":"2503.10125","title":"Proxy-Tuning: Tailoring Multimodal Autoregressive Models for Subject-Driven Image Generation","created":"2025-03-13","cited_by_count":6,"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":"2512.20233","title":"How I Met Your Bias: Investigating Bias Amplification in Diffusion Models","created":"2025-12-23","cited_by_count":4,"area":"diffusion"},{"id":"2509.15257","title":"RespoDiff: Dual-Module Bottleneck Transformation for Responsible & Faithful T2I Generation","created":"2025-09-18","cited_by_count":3,"area":"diffusion"},{"id":"2512.03749","title":"Fully Unsupervised Self-debiasing of Text-to-Image Diffusion Models","created":"2025-12-03","cited_by_count":3,"area":"diffusion"},{"id":"2406.10197","title":"Composing Parts for Expressive Object Generation","created":"2024-06-14","cited_by_count":2,"area":"diffusion"},{"id":"2505.11158","title":"Diffusion Models for Hyperspectral Image Analysis: A Comprehensive Review","created":"2025-05-16","cited_by_count":2,"area":"diffusion"},{"id":"2511.13750","title":"SCALEX: Scalable Concept and Latent Exploration for Diffusion Models","created":"2025-11-13","cited_by_count":2,"area":"diffusion"},{"id":"2604.06052","title":"Attention, May I Have Your Decision? Localizing Generative Choices in Diffusion Models","created":"2026-03-29","cited_by_count":2,"area":"diffusion"},{"id":"2605.07456","title":"Inference-Time Attribute Distribution Alignment for Unconditional Diffusion","created":"2026-05-08","cited_by_count":2,"area":"diffusion"},{"id":"2605.28036","title":"Stay Fair! Ensuring Group Fairness in Diffusion Models Across Guidance Scales","created":"2026-05-27","cited_by_count":2,"area":"diffusion"},{"id":"2407.11002","title":"MoESD: Mixture of Experts Stable Diffusion to Mitigate Gender Bias","created":"2024-06-25","cited_by_count":1,"area":"diffusion"},{"id":"2410.21314","title":"Decoding Diffusion: A Scalable Framework for Unsupervised Analysis of Latent Space Biases and Representations Using Natural Language Prompts","created":"2024-10-25","cited_by_count":1,"area":"diffusion"},{"id":"2601.20791","title":"FAIRT2V: Training-Free Debiasing for Text-to-Video Diffusion Models","created":"2026-01-28","cited_by_count":1,"area":"diffusion"},{"id":"2606.13240","title":"Towards More General Control of Diffusion Models Using Jeffrey Guidance","created":"2026-06-11","cited_by_count":1,"area":"diffusion"},{"id":"2607.00817","title":"Training-Free Debiasing of Diffusion Models via CLIP-Guided Denoising Optimization","created":"2026-07-01","cited_by_count":1,"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":"2602.06806","title":"RAIGen: Rare Attribute Identification in Text-to-Image Generative Models","created":"2026-02-06","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"},{"id":"2608.25862","title":"Learning Late, Guiding Early: Timestep-Decoupled Semantic Guidance for Fair Face Generation","created":"2026-08-26","cited_by_count":0,"area":"diffusion"},{"id":"2609.09486","title":"Efficient Fairness Auditing Across Guidance Scales in Text-to-Image Diffusion Models via Causal Abstraction","created":"2026-09-08","cited_by_count":0,"area":"diffusion"},{"id":"2609.23442","title":"PhysReflect: Geometry and Perception Guided Diffusion for Physically-Plausible Mirror Reflections","created":"2026-09-20","cited_by_count":0,"area":"diffusion"},{"id":"2610.01815","title":"Debias Anything: Fairness with Diversity without Supervision in Diffusion Models","created":"2026-10-01","cited_by_count":0,"area":"diffusion"},{"id":"2610.05645","title":"When Does a Diffusion Model Decide What to Draw ?","created":"2026-10-05","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}