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2025 ICML ICML 2025

D-Fusion: Direct Preference Optimization for Aligning Diffusion Models with Visually Consistent Samples

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Reinforcement Learning

Authors

Zijing Hu, Fengda Zhang, Kun Kuang

Topics

Artificial Intelligence > Core AI > Multimodal Learning Deep Learning > Models > Diffusion Models Reinforcement Learning > Methods > Deep RL

Keywords

direct preference optimization diffusion model prompt-image alignment denoising trajectories mask-guided self-attention fusion visually consistent samples
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