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A New Makeup Transfer with Super-resolution

Yeqing Ren, Youqiang Sun, Di Wu, Zhihua Cui, Alex Kai Qin
2019 Australian Journal of Intelligent Information Processing Systems  
In this paper, we propose a new makeup transfer model considering a specific scene that is blurry target image.  ...  With the wide use of beauty camera, the makeup transfer for old photo has a certain application value.  ...  super-resolution image(SR_image with makeup).  ... 
dblp:journals/ajiips/RenSWCQ19 fatcat:rrgaioa2bjhkzm373vu37hzptu

PairedCycleGAN: Asymmetric Style Transfer for Applying and Removing Makeup

Huiwen Chang, Jingwan Lu, Fisher Yu, Adam Finkelstein
2018 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition  
Our unsupervised learning approach relies on a new framework of cycle-consistent generative adversarial networks.  ...  We construct two coupled networks to implement these functions -one that transfers makeup style and a second that can remove makeup -such that the output of their successive application to an input photo  ...  (2) An asymmetric makeup transfer framework wherein we train a makeup removal network jointly with the transfer network to preserve the identity, augmented by a style discriminator. (3) A new dataset  ... 
doi:10.1109/cvpr.2018.00012 dblp:conf/cvpr/ChangLYF18 fatcat:7abkkauvzbbptcb5yevubongdq

MakeupBag: Disentangling Makeup Extraction and Application [article]

Dokhyam Hoshen
2020 arXiv   pre-print
Our proposed technique can transfer a new makeup style from a reference face image to another previously unseen facial photograph.  ...  This paper introduces MakeupBag, a novel method for automatic makeup style transfer.  ...  The reference image depicts a specific makeup style that we would like to transfer to the target image, which is typically a photo of a face with no makeup.  ... 
arXiv:2012.02157v1 fatcat:icgnqmikgnaw5lrluqnmd6cygy

Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-robust Makeup Transfer [article]

Shengshan Hu, Xiaogeng Liu, Yechao Zhang, Minghui Li, Leo Yu Zhang, Hai Jin, Libing Wu
2022 arXiv   pre-print
In particular, we introduce a new regularization module along with a joint training strategy to reconcile the conflicts between the adversarial noises and the cycle consistence loss in makeup transfer,  ...  AMT-GAN leverages generative adversarial networks (GAN) to synthesize adversarial face images with makeup transferred from reference images.  ...  RRDB is widely used in the field of image super-resolution [33] .  ... 
arXiv:2203.03121v2 fatcat:kogfrvyslvhqli3tdfylfkvqv4

Page 75 of SMPTE Motion Imaging Journal Vol. 108, Issue 2 [page]

1999 SMPTE Motion Imaging Journal  
Telecine colorists were faced with related challenges in transferring film images to tape. The revision of the SMPTE 96 standard on Scanned 75  ...  , with a 2- megapixel sensor similar in size to a 35mm motion picture’ frame.  ... 

Using colorization as a tool for automatic makeup suggestion [article]

Shreyank Narayana Gowda
2019 arXiv   pre-print
The output is a generated makeup suggestion. To develop this model, we need to tweak the general colorization model to deal only with faces of people.  ...  Following this, we propose the use of colorization by generating makeup suggestions automatically on a face. To do this, a dataset consisting of 1000 images has been created.  ...  They then train another CNN to convert this low resolution image into a high resolution image. Makeup suggestion is a relatively new field in computer vision.  ... 
arXiv:1906.07421v1 fatcat:q44cdv6rjfg5pha4dbyz6tqcei

Real-World Automatic Makeup via Identity Preservation Makeup Net

Zhikun Huang, Zhedong Zheng, Chenggang Yan, Hongtao Xie, Yaoqi Sun, Jianzhong Wang, Jiyong Zhang
2020 Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence  
To address these two challenges, we introduce a new makeup model, called Identity Preservation Makeup Net (IPM-Net), which preserves not only the background but the critical patterns of the original identity  ...  Given one non-makeup target image and one reference image, the automatic makeup is to generate one face image, which maintains the original identity with the makeup style in the reference image.  ...  To allow the makeup transfer degree controllable, we deploy a new reference makeup style Snew as a weighted sum of the reference makeup styles Sy and the original makeup style Sx.  ... 
doi:10.24963/ijcai.2020/91 dblp:conf/ijcai/HuangZYXSWZ20 fatcat:ifqijo2lebchrcgo5hylrww6ei

Page 64 of POWER Vol. 62, Issue 2 [page]

1925 POWER  
I have now reached the age where l can claim thirty years of service under the same super- intendent and good will with my company. This I can never get again with another.  ...  New York City. Shall He Take a Chance? The foreword in the April 14 issue, entitled, “Shall He Take a Chance,” describes a situation that is not uncommon, at least in some of its particulars.  ... 

Makeup like a superstar: Deep Localized Makeup Transfer Network [article]

Si Liu, Xinyu Ou, Ruihe Qian, Wei Wang, Xiaochun Cao
2016 arXiv   pre-print
In this paper, we propose a novel Deep Localized Makeup Transfer Network to automatically recommend the most suitable makeup for a female and synthesis the makeup on her face.  ...  Our end-to-end makeup transfer network have several nice properties including: (1) with complete functions: including foundation, lip gloss, and eye shadow transfer; (2) cosmetic specific: different cosmetics  ...  ., 2015] and super-resolution [Dong et al., 2014] . These methods are operated on a single image. Neru-alStyle [Gatys et al., 2015a] is the most similar with us.  ... 
arXiv:1604.07102v1 fatcat:xar2z55tt5gepofv72yvvjtvpa

DRAN: Detailed Region-Adaptive Normalization for Conditional Image Synthesis [article]

Yueming Lyu, Peibin Chen, Jingna Sun, Xu Wang, Jing Dong, Tieniu Tan
2021 arXiv   pre-print
To evaluate the effectiveness and generalization ability of DRAN, we conduct a set of experiments on makeup transfer and semantic image synthesis.  ...  Quantitative and qualitative experiments show that equipped with DRAN, the baseline models are able to achieve significant improvement in complex style transfer and texture details reconstruction.  ...  Perceptual [34] Zhou Wang, Alan C Bovik, Hamid R Sheikh, and Eero P losses for real-time style transfer and super-resolution. In Simoncelli.  ... 
arXiv:2109.14525v3 fatcat:iayrldmpevfzbaenhlejh74icy

SOGAN: 3D-Aware Shadow and Occlusion Robust GAN for Makeup Transfer [article]

Yueming Lyu, Jing Dong, Bo Peng, Wei Wang, Tieniu Tan
2021 arXiv   pre-print
After obtaining cleaner makeup features from the reference image, a Makeup Transfer Module (MTM) is introduced to perform accurate makeup transfer.  ...  To alleviate it, we propose a novel makeup transfer method, called 3D-Aware Shadow and Occlusion Robust GAN (SOGAN).  ...  [17] proposes a space-time architecture to transfer the full head from a source face to a portrait video of a target face. For face deblurring and super-resolution, Hu et al.  ... 
arXiv:2104.10567v2 fatcat:6y7tmzb4vfagxkoqhuawujdhwq

Reference based Face Super-resolution

Zhi-Song Liu, Wan-Chi Siu, Yui-Lam Chan
2019 IEEE Access  
This paper investigates a new research direction in face super-resolution, called Reference based face Super-Resolution (RefSR), in which a reference facial image containing genuine attributes is provided  ...  By comparing it with state-of-the-art super-resolution approaches, our proposed approach also achieves superior performance. INDEX TERMS Face super-resolution, deep feature extraction, style transfer.  ...  For example, we can have dressing difference (A shows a woman with a hat and J shows a woman with makeup), age difference (C shows childhood of the woman and H shows a woman at different ages) and difference  ... 
doi:10.1109/access.2019.2934078 fatcat:qw6mh56ysvfpjbvno4hxn7sgwq

Attribute-Guided Face Generation Using Conditional CycleGAN [article]

Yongyi Lu, Yu-Wing Tai, Chi-Keung Tang
2018 arXiv   pre-print
We are interested in attribute-guided face generation: given a low-res face input image, an attribute vector that can be extracted from a high-res image (attribute image), our new method generates a high-res  ...  We demonstrate impressive results on the attribute-guided conditional CycleGAN, which can synthesize realistic face images with appearance easily controlled by user-supplied attributes (e.g., gender, makeup  ...  For face image super-resolution.  ... 
arXiv:1705.09966v2 fatcat:ugydjwm7k5eznmdhygm6756iki

Generative Adversarial Networks for Image Super-Resolution: A Survey [article]

Chunwei Tian, Xuanyu Zhang, Jerry Chun-Wen Lin, Wangmeng Zuo, Yanning Zhang
2022 arXiv   pre-print
Single image super-resolution (SISR) has played an important role in the field of image processing.  ...  Recent generative adversarial networks (GANs) can achieve excellent results on low-resolution images with small samples. However, there are little literatures summarizing different GANs in SISR.  ...  LE-GAN [95] GAN GAN with a latent encoder for realistic hyperspectral image super-resolution NCSR [96] GAN GAN with a noise conditional layer for image super-resolution Beby-GAN [97] GAN GAN with  ... 
arXiv:2204.13620v1 fatcat:hlwdqith65cxrbqrnbphjz6u4u

VCIP 2020 Index

2020 2020 IEEE International Conference on Visual Communications and Image Processing (VCIP)  
Deformable Alignment Sun, Songlin A Progressive Fast CU Split Decision Scheme AVS3 Sun, Wanjie DOVE: Decomposition Oriented Video super- rEsolution Sun, Wendell Q.  ...  End-to-End Optimized Compressio for Brain Images Zhang, Yuge CNN-BASED ANOMALY DETECTION FOR FACE PRESENTATION ATTACK DETECTION WITH MULTI-CHANNEL IMAGES Zhang, Yuhang Video Super Resolution Using Temporal  ... 
doi:10.1109/vcip49819.2020.9301896 fatcat:bdh7cuvstzgrbaztnahjdp5s5y
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