AINeutralarXiv – CS AI · 15h ago6/10
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CFG-OEC: Classifier Free Guidance with Orthogonal Error Correction
Researchers propose CFG-OEC, an improvement to classifier-free guidance in diffusion models that corrects structural sampling errors caused by misalignment between training objectives and sampling procedures. The method demonstrates improved image generation quality on Stable Diffusion models, achieving better FID and CLIP scores than existing approaches.
🧠 Stable Diffusion