近日，一款名为AuraSR的全新图像超分辨率模型引起了人工智能界的广泛关注。该模型由Fal AI公司开发，基于Adobe最新发布的GigaGAN论文，采用生成对抗网络（GAN）技术，能够在极短时间内将图像分辨率大幅提升。
AuraSR，一个拥有6亿参数的巨无霸上采样模型，从GigaGAN论文中脱胎而来，现已全面开源。这个模型的厉害之处在于，它能够将图片放大四倍的同时，还能补充那些在放大过程中可能丢失的细节。而且，这还不是它的全部本领，它甚至可以对图片进行多次放大，让细节更加丰富。
基于GAN的图像超分辨率模型
AuraSR 是基于 GAN 的超分辨率图像处理模型，可用于提升生成图像的质量。
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基于GAN的超分辨率技术，用于提升生成图像的质量
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