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High Noise Scheduling is a Must
April 10, 2024, 4:42 a.m. | Mahmut S. Gokmen, Cody Bumgardner, Jie Zhang, Ge Wang, Jin Chen
cs.LG updates on arXiv.org arxiv.org
Abstract: Consistency models possess high capabilities for image generation, advancing sampling steps to a single step through their advanced techniques. Current advancements move one step forward consistency training techniques and eliminates the limitation of distillation training. Even though the proposed curriculum and noise scheduling in improved training techniques yield better results than basic consistency models, it lacks well balanced noise distribution and its consistency between curriculum. In this study, it is investigated the balance between high …
abstract advanced arxiv capabilities cs.ai cs.cv cs.lg current curriculum distillation image image generation noise sampling scheduling through training type
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