Use of triplet loss for facial restoration in low-resolution images

5 September 2024

Papers citing "Use of triplet loss for facial restoration in low-resolution images"

16 / 16 papers shown

Title
AdaFace: Quality Adaptive Margin for Face Recognition Minchul Kim Anil K. Jain Xiaoming Liu CVBM 116 408 0 03 Apr 2022
Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data Xintao Wang Liangbin Xie Chao Dong Ying Shan 131 1,180 0 22 Jul 2021
GAN Prior Embedded Network for Blind Face Restoration in the Wild Tao Yang Peiran Ren Xuansong Xie Lei Zhang GAN CVBM 91 279 0 13 May 2021
Towards Real-World Blind Face Restoration with Generative Facial Prior Xintao Wang Yu Li Honglun Zhang Ying Shan CVBM 96 455 0 11 Jan 2021
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 642 10,605 0 12 Dec 2018
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks Xintao Wang Ke Yu Shixiang Wu Jinjin Gu Yihao Liu Chao Dong Chen Change Loy Yu Qiao Xiaoou Tang 181 3,741 0 01 Sep 2018
The Devil of Face Recognition is in the Noise Fei Wang Liren Chen Cheng Li Shiyao Huang Yanjie Chen Chao Qian Chen Change Loy NoLa 97 197 0 31 Jul 2018
On Low-Resolution Face Recognition in the Wild: Comparisons and New Techniques Pei Li Loreto Prieto Domingo Mery Patrick Flynn CVBM 99 152 0 29 May 2018
Deep Face Recognition: A Survey Mei Wang Weihong Deng NoLa 158 1,235 0 18 Apr 2018
VGGFace2: A dataset for recognising faces across pose and age Qiong Cao Li Shen Weidi Xie Omkar M. Parkhi Andrew Zisserman CVBM 106 2,638 0 23 Oct 2017
Enhanced Deep Residual Networks for Single Image Super-Resolution Bee Lim Sanghyun Son Heewon Kim Seungjun Nah Kyoung Mu Lee SupR 187 5,932 0 10 Jul 2017
Large-Margin Softmax Loss for Convolutional Neural Networks Weiyang Liu Yandong Wen Zhiding Yu Meng Yang CVBM 87 1,457 0 07 Dec 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution Justin Johnson Alexandre Alahi Li Fei-Fei SupR 268 10,273 0 27 Mar 2016
FaceNet: A Unified Embedding for Face Recognition and Clustering Florian Schroff Dmitry Kalenichenko James Philbin 3DH 393 13,172 0 12 Mar 2015
Deeply learned face representations are sparse, selective, and robust Yi Sun Xiaogang Wang Xiaoou Tang CVBM 329 924 0 03 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,575 0 04 Sep 2014