1 引言 Baker and Kanade在2000年提出了人脸超分(face super resolution, FSR)的概念。传统的FSR方法有:1 global face统计模型; 2 基于local patch的方法;3 前两者相融合的方法。关于传统的FSR方法综述可以查看原论文参考文献[1-6]。传统的方法很难满足实际需求。近年来,基于深度学习的FSR方法大大的提升了人脸超...
Prior-guided Face Super-resolution根据先验信息提取的顺序性分成了4类,分别为 1.先提取prior information再进行超分辨率 2.并行 3.把超分辨率的中间特征作为prior information使用 4.先进行超分辨率以先验信息为基础的face super resolution的发展(论文时间顺序)...
Face Super-ResolutionDiscriminative Super-ResolutionExperimentsExperiments 1: Visual QualityExperiments 2: Face RecognitionOpen Issues: The Current ChallengesAcknowledgementReferences Introduction Formulation for Face Super-ResolutionTwo Models for Face Super-Resolution: The Observation Model and Prior Knowledge ...
2)同时介绍了两种人脸几何先验方法:人脸特征点热图(facial landmark heatmaps )和解析图( parsing maps) 3)The proposed FSRNet achieves the state of the artwhen hallucinating unaligned and very low-resolution (16×16 pixels) face images by an upscaling factor of 8, and the extended FSRGAN further ...
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...
[cvpr2022]GCFSR: a Generative and Controllable Face Super Resolution Method Without Facial and GAN Priors 0.文章贡献 1、提出了一个人脸超分框架GCFSR,不需要GAN先验知识,既能保证真实性又能生成丰富的细节,指标上可以超越了基于人脸和GAN先验的方法。
Face super-resolution (SR) has become an indispensable function in security solutions such as video surveillance and identification system, but the distortion in facial components is a great challenge in it. Most state-of-the-art methods have utilized facial priors with deep neural networks. These...
Aiming at the problems of the face image super-resolution reconstruction method based on convolutional neural network, such as single feature extraction scale, low utilization rate of features and blurred face images texture, a model combining convolutional neural network with self-att...
Face_SuperResolution_Dataset leongaicv2021-05-0873643CC-BY-SA-NC 4.0 新建Notebook 内容 Notebook 评论 描述 本数据集包含30000张320*320分辨率的人脸图片,按照9:1划分 为train和val,可以用于人脸超分辨等相关任务。 数据列表 数据名称上传日期大小下载 vgg16-397923af.zip2021-05-08489.83MB Face_SuperResol...
一. Network:SFMNet 1.网络采用U-Net结构,其中SFMLM-i是不同分辨率的每层结构 2.SPB是空域分支,FRB是频域分支,分别经过FRB和SPB的两个分支信息经过FSIB分支进行信息的融合 3. FRB结构: FreBlock 4. FSIB结构: Fuse Block 二. 表达: 1. For PSNR-oriented model, both pixel-level and frequency-level ...