主要介绍了L1、L2、SSIM、Perceptual loss、Adversarial loss、Cycle Consistency loss(CycleGAN)等损失函数。另外论文Deep Learning for Image Super-resolution: A Survey也对常用的损失函数进行了总结。印象中2016有一篇文章对各种损失函数进行了对比,看得有点久远了,找不到了。有知道我说的这篇文章的小伙伴可在评论...
Super-resolutionIterative quantizationHash encodingDictionary learningConsidering the crucial role of face image in modern intelligent system, face image retrieval has attracted more attention for authentication, surveillance, law enforcement, and security control. In most cases, we cannot obtain the suspect...
摘要: Increasing the quality of low-resolution images, namely super-resolution, has recently received a lot of attention in the field of image processing. Super-resolution has various applications,...关键词: Super-resolution Face hallucination Sparse representation Face image Image quality Discrete ...
脸部超分辨率又称为脸部幻觉,是超分辨率问题的一个特殊分支。目的是对LR的人脸image进行高分辨率恢复 face super resolution方面popular的loss函数是MSE loss function,当然现在更多的是使用混合的多loss function论文的章节分布主要分为face super resoltion的问题前瞻,普通的超分辨率问题和人脸超分辨率问题的比较,常用...
^Kelvin CK Chan, Xintao Wang, Xiangyu Xu, Jinwei Gu, and Chen Change Loy. Glean: Generative latent bank for large-factor image super-resolution. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 14245–14254, 2021. ...
RT,开启这个选项,合成后,卡在提示“gfpgan is installed.” 这里,然后就没动静了。。。 不开启人脸超分没问题,请教这是哪里出了问题?Owner tanshuai0219 commented Sep 12, 2024 RT,开启这个选项,合成后,卡在提示“gfpgan is installed.” 这里,然后就没动静了。。。 不开启人脸超分没问题,请教这是哪里出...
The employed super-resolution algorithm is applied on the best image resulting in an improved and enhanced high-quality, high-resolution image. 展开 关键词: Super-resolution Face detection Face quality assessment Facial feature extraction 会议名称: 2014 International Conference on Communications and ...
Set drive sparse coding based on the supporting face super-resolution reconstruction method, the input resolution will face image, low resolution wife face image training set were divided into overlapping image block; the input resolution Each image block face image, the first coding coefficients to ...
Super-Resolution (SR) reconstruction is posed as a Bayesian estimation of the location and appearance parameters of a face model. Image registration and image fusion, the two steps for SR reconstruction, are combined into one unified probabilistic framework, in which the prior information about facia...
This is a powerful tool that allows for image super-resolution to arbitrary sizes using multiple models, designed to enhance the resolution and quality of images, making them clearer and more detailed. Presently, it supports several models, such as RealCUGAN, RealESRGAN, and Waifu2x. Documentatio...