real-esrgan x2+
时间: 2024-01-17 08:05:50 浏览: 24
Real-ESRGAN x2 is an image upscaling algorithm that uses deep learning to enhance the resolution and quality of images. It is a state-of-the-art model that can upscale images by a factor of 2, meaning it can double the size of an image while preserving its quality and details. Real-ESRGAN x2 is based on the Enhanced Super-Resolution Generative Adversarial Network (ESRGAN) architecture, which uses a combination of convolutional neural networks and adversarial training to generate high-quality images. The "real" in its name refers to the fact that it aims to create realistic, natural-looking images, as opposed to overly processed or artificial ones.
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real-ESRGAN
Real-ESRGAN是一种超分辨率网络,全称为Enhanced Super-Resolution Generative Adversarial Networks。该网络通过训练以PSNR为导向的Real-ESRNet模型,然后以Real-ESRNet的网络参数进行初始化,同时使用L1 loss、perceptual loss和GAN loss作为损失函数来训练最终的Real-ESRGAN网络。
Real-ESRGAN被用作一种图像分辨率修复工具,可以提升照片和动画图片的分辨率。它内置了一个预训练模型,能够将分辨率提高到原来的4倍。虽然Real-ESRGAN是一个命令行工具,但使用起来非常简单,而且效果也非常好。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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- *1* *2* [Real-ESRGAN超分辨网络](https://blog.csdn.net/weixin_46515047/article/details/119829454)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_2"}}] [.reference_item style="max-width: 50%"]
- *3* [Real-ESRGAN 深度学习超分辨率重建工具](https://download.csdn.net/download/hq10086/79831404)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_2"}}] [.reference_item style="max-width: 50%"]
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Real-ESRGAN
Real-ESRGAN是一个用于图像超分辨率的算法和网络。它的目标是通过训练使用纯合成数据的网络来实现真实世界的盲目超分辨率。论文标题为《Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data》。这个算法是基于ESRGAN(Enhanced Super-Resolution Generative Adversarial Networks)超分辨率网络的改进版本。实际上,Real-ESRGAN的NCNN实现也可以在GitHub上找到。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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- *1* [AI数字人:让图片变清晰的图像超分辨率模型 Real-ESRGAN](https://blog.csdn.net/lsb2002/article/details/131724463)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v92^chatsearchT0_1"}}] [.reference_item style="max-width: 33.333333333333336%"]
- *2* [Real-ESRGAN超分辨网络](https://blog.csdn.net/weixin_46515047/article/details/119829454)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v92^chatsearchT0_1"}}] [.reference_item style="max-width: 33.333333333333336%"]
- *3* [【论文阅读+测试】Real-Esrgan超分辨率算法](https://blog.csdn.net/qq_46258063/article/details/126266621)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v92^chatsearchT0_1"}}] [.reference_item style="max-width: 33.333333333333336%"]
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