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Quick RSS Feed: CodeFormer:基于代码查找转换器的盲脸修复工具,专为老照片和破损照片修复设计 #51
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CodeFormer:基于代码查找转换器的盲脸修复工具,专为老照片和破损照片修复设计 | ||
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CodeFormer 是一款利用离散代码本先验的创新盲脸修复模型。通过在小型代理空间中学习的代码本,CodeFormer 大大减少了修复过程中常见的不确定性和模糊性。该模型将脸部修复问题转换为代码预测任务,提供了丰富的视觉组件,用于生成高质量的脸部图像。 | ||
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![image](https://github.com/user-attachments/assets/5ab4ee5b-c612-4807-89be-91e9f59a6cb2) | ||
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![image](https://github.com/user-attachments/assets/1c77a79b-96e7-4cfd-aa9f-4146c4e07e24) | ||
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CodeFormer 采用了基于转换器的预测网络,能够建模低质量脸部图像的全局组成和上下文信息,即使在输入严重退化的情况下,也能够重构出自然的脸部特征,逼近目标图像。 | ||
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![image](https://github.com/user-attachments/assets/e1db07ab-c938-433f-a0f2-86230715d88c) | ||
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在线体验:https://huggingface.co/spaces/sczhou/CodeFormer | ||
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为提升对不同退化程度的适应性,CodeFormer 还集成了可控特征变换模块,允许用户在保真度和图像质量之间灵活调节。凭借强大的代码本先验和全局建模能力,CodeFormer 在修复质量和保真度方面均超越了现有方法,展现了卓越的修复效果。 | ||
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通过引入代码查找和全局转换器,CodeFormer 不仅提高了盲脸修复的精确性和自然性,还提供了极大的灵活性,简化了复杂的修复任务,使模型在鲁棒性和表现力上表现出色。 | ||
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👉 https://github.com/sczhou/CodeFormer | ||
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<p align="center"> | ||
<a href="https://github.com/sczhou/CodeFormer" target="_blank">🔗 查看链接</a> • | ||
<a href="https://github.com/jaywcjlove/quick-rss/issues/new/choose" target="_blank">投稿/推荐/自荐</a> • | ||
<a href="https://wangchujiang.com/quick-rss/feeds/index.html" target="_blank">Quick RSS</a> • | ||
<a href="https://github.com/jaywcjlove/quick-rss/issues/51" target="_blank">#51</a> • | ||
<a href="https://github.com/jaywcjlove" target="_blank">@jaywcjlove</a> | ||
</p> | ||
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