Debias Anything: Fairness with Diversity without Supervision in Diffusion Models

arXiv:2610.01815 · cs.LG · Submitted 2026-10-01 · Read on arXiv

cs.LG

Submitted: 2026-10-01

Updated: 2026-10-01

Code: https://github.com/theaudaudiffret/Debias_anything

Terminology

• Diffusion Model — 1× in this paper · explained in 9 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes

Sources

• MIND: Monge Inception Distance for Generative Models Evaluation
• The Generation Phases of Flow Matching: a Denoising Perspective
• Classifier-Free Diffusion Guidance
• Stay Fair! Ensuring Group Fairness in Diffusion Models Across Guidance Scales
• Inference-Time Attribute Distribution Alignment for Unconditional Diffusion
• DeltaEdit: Exploring Text-free Training for Text-Driven Image Manipulation
• Towards More General Control of Diffusion Models Using Jeffrey Guidance
• SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features
• Qwen-Image Technical Report

Related papers

• Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
• AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
• Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
• Convergence issues in Relational Concept Analysis based on AOC-posets
• Beliefs Beyond Posteriors: The Predictive Cost of ELBO Binding
• Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks