MCLR: Improving Conditional Modeling via Inter-Class Likelihood-Ratio Maximization and Unifying Classifier-Free Guidance with Alignment Objectives
cs.LG, cs.AI, cs.CV
Submitted: 2026-03-23
Updated: 2026-10-20
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Classifier-Free Guidance is a Predictor-Corrector
- Diffusion Blend: Inference-Time Multi-Preference Alignment for Diffusion Models
- Diffusion Guidance Is a Controllable Policy Improvement Operator
- Classifier-Free Diffusion Guidance
- Inference-Time Alignment Control for Diffusion Models with Reinforcement Learning Guidance
- Stage-wise Dynamics of Classifier-Free Guidance in Diffusion Models
- Rethinking Preference Alignment for Diffusion Models with Classifier-Free Guidance
- Feature-guided score diffusion for sampling conditional densities
- Aligning Text to Image in Diffusion Models is Easier Than You Think
- Representation Learning with Contrastive Predictive Coding
- Classifier-Free Guidance: From High-Dimensional Analysis to Generalized Guidance Forms
- Hierarchical Text-Conditional Image Generation with CLIP Latents
- Diffusion Models without Classifier-free Guidance
- Emergence of Distortions in High-Dimensional Guided Diffusion Models
- No Alignment Needed for Generation: Learning Linearly Separable Representations in Diffusion Models
- Training Class-Imbalanced Diffusion Model Via Overlap Optimization
- Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator
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