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Editable Generative Adversarial Networks: Generating and Editing Faces Simultaneously [article]

Kyungjune Baek, Duhyeon Bang, Hyunjung Shim
2018 arXiv   pre-print
We propose a novel framework for simultaneously generating and manipulating the face images with desired attributes.  ...  Recently, several studies attempt to tackle both novel face generation and attribute editing problem using a single solution. However, their image quality is still unsatisfactory.  ...  Note that the accurate image reconstruction is critical for achieving successful attribute editing because our attribute editing is based on the image reconstruction framework.  ... 
arXiv:1807.07700v1 fatcat:4lishg6vlzdddb3a4ek5rfshjy

Facial attribute-controlled sketch-to-image translation with generative adversarial networks

Mingming Hu, Jingtao Guo
2020 EURASIP Journal on Image and Video Processing  
To achieve this goal, first, we propose a new attribute classification loss to ensure that the synthesized face image with the facial attributes, which the users desire to have.  ...  By incorporating above losses into a unified framework, our proposed method not only can achieve high-quality sketch-to-image translation, but also allow the users control the facial attributes of synthesized  ...  Acknowledgements Thanks to my colleagues and classmates for their help in writing the paper; it is with their encouragement and guidance that I can finally complete this paper.  ... 
doi:10.1186/s13640-020-0489-5 fatcat:h3nnm7qg2ffirdhkqphfuahvmi

Reference Guided Image Inpainting using Facial Attributes

Dongsik Yoon, Youngsaeng Jin, Jeong-gi Kwak, Yuanming Li, David K. Han, Hanseok Ko
2021 British Machine Vision Conference  
To overcome this limitation, we propose an alternative user-guided inpainting architecture that manipulates facial attributes using a single reference image as the guide.  ...  Our end-to-end model consists of attribute extractors for accurate reference image attribute transfer and an inpainting model to map the attributes realistically and accurately to generated images.  ...  AttGAN [8] , was a novel approach to control face image by a generative model trained with facial attributes.  ... 
dblp:conf/bmvc/YoonJKLHK21 fatcat:gwuulqyvajhttdhur6fqg44lte

MulGAN: Facial Attribute Editing by Exemplar [article]

Jingtao Guo, Zhenzhen Qian, Zuowei Zhou, Yi Liu
2019 arXiv   pre-print
Besides, a novel model structure is designed to enhance attribute transfer capabilities by exemplars while improve the quality of the generated image.  ...  However, they suffer from three limitations: (1) the model must be trained using a pair of images with opposite attributes as input; (2) weak capability of editing multiple attributes by exemplars; (3)  ...  Several attribute labels based methods have been proposed for multiple facial attribute editing. Guim et al.  ... 
arXiv:1912.12396v1 fatcat:6avzvy3qszdonidqug6rzpbpsu

A comprehensive survey on semantic facial attribute editing using generative adversarial networks [article]

Ahmad Nickabadi, Maryam Saeedi Fard, Nastaran Moradzadeh Farid, Najmeh Mohammadbagheri
2022 arXiv   pre-print
Semantic facial attribute editing is the process of varying the values of one or more attributes of a face image while the other attributes of the image are not affected.  ...  In this paper, we survey the recent works and advances in semantic facial attribute editing.  ...  [98] propose a U-net based architecture for continuous facial attribute editing (Figure 21 ) employing the notion of discrete relative action units (AUs).  ... 
arXiv:2205.10587v1 fatcat:thpe4crcgndifb5mhtuveww4ji

A State-of-the-Art Review on Image Synthesis with Generative Adversarial Networks

Lei Wang, Wei Chen, Wenjia Yang, Fangming Bi, Fei Richard Yu
2020 IEEE Access  
INDEX TERMS Generative adversarial networks, image synthesis, image-to-image translation, image editing, cartoon generation.  ...  In this paper, we introduce the recent research on GANs in the field of image processing, including image synthesis, image generation, image semantic editing, image-to-image translation, image super-resolution  ...  STGAN is a high-precision attribute editing model based on AttGAN [54] and StarGAN [55] . It helps to improve the generated image quality and to get a clear editing result.  ... 
doi:10.1109/access.2020.2982224 fatcat:p5uxjh4cybfw5grp6ldhkpukrm

Geometry-Aware Face Completion and Editing

Linsen Song, Jie Cao, Lingxiao Song, Yibo Hu, Ran He
2019 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
Then, an encoder-decoder structure generator serves to complete a face image and disentangle its mask areas conditioned on both the masked face image and the estimated facial geometry images.  ...  Firstly, a facial geometry estimator is learned to estimate facial landmark heatmaps and parsing maps from the unmasked face image.  ...  Acknowledgement This work is funded by National Natural Science Foundation of China (Grants No. 61622310), Youth Innovation Promotion Association CAS(2015190) and Innovation Training Programs for Undergraduates  ... 
doi:10.1609/aaai.v33i01.33012506 fatcat:ffsliuwhprbypemyomldoifma4

MaskGAN: Towards Diverse and Interactive Facial Image Manipulation [article]

Cheng-Han Lee, Ziwei Liu, Lingyun Wu, Ping Luo
2020 arXiv   pre-print
Specifically, DMN learns style mapping between a free-form user modified mask and a target image, enabling diverse generation results.  ...  Facial image manipulation has achieved great progress in recent years.  ...  Figure 5 : 5 Zoom in the performance for a specific attribute: Smiling on facial attribute transfer. * indicates the model is trained by images with a size of 256 × 256.  ... 
arXiv:1907.11922v2 fatcat:vvqmj65vxnhabbsepi3wztkdw4

Texture Deformation Based Generative Adversarial Networks for Face Editing [article]

WenTing Chen, Xinpeng Xie, Xi Jia, Linlin Shen
2018 arXiv   pre-print
Despite the significant success in image-to-image translation and latent representation based facial attribute editing and expression synthesis, the existing approaches still have limitations in the sharpness  ...  To address these issues, we propose a Texture Deformation Based GAN, namely TDB-GAN, to disentangle texture from original image and transfers domains based on the extracted texture.  ...  Conclusion In this paper, we proposed Texture Deformation Based GAN to perform texture-to-image translation among multiple domains.  ... 
arXiv:1812.09832v1 fatcat:nwwiu6pkcbeolmi23seok2kapa

MagGAN: High-Resolution Face Attribute Editing with Mask-Guided Generative Adversarial Network [article]

Yi Wei, Zhe Gan, Wenbo Li, Siwei Lyu, Ming-Ching Chang, Lei Zhang, Jianfeng Gao, Pengchuan Zhang
2020 arXiv   pre-print
We present Mask-guided Generative Adversarial Network (MagGAN) for high-resolution face attribute editing, in which semantic facial masks from a pre-trained face parser are used to guide the fine-grained  ...  Further, a novel mask-guided conditioning strategy is introduced to incorporate the influence region of each attribute change into the generator.  ...  A Network Architecture of MagGAN We present MagGAN network architecture for image generators in Table 5 and the network architectures for discriminators in Table 6 .  ... 
arXiv:2010.01424v1 fatcat:vtkcmllqzjfvxmuvgnpdylvyvq

Geometry-Aware Face Completion and Editing [article]

Linsen Song, Jie Cao, Linxiao Song, Yibo Hu, Ran He
2019 arXiv   pre-print
Then, an encoder-decoder structure generator serves to complete a face image and disentangle its mask areas conditioned on both the masked face image and the estimated facial geometry images.  ...  Firstly, a facial geometry estimator is learned to estimate facial landmark heatmaps and parsing maps from the unmasked face image.  ...  Acknowledgement This work is funded by National Natural Science Foundation of China (Grants No. 61622310), Youth Innovation Promotion Association CAS(2015190) and Innovation Training Programs for Undergraduates  ... 
arXiv:1809.02967v2 fatcat:hckil2zspnftvlsemzauieecvy

A Novel Cross Channel Self-Attention based Approach for Facial Attribute Editing

2021 KSII Transactions on Internet and Information Systems  
over the generation process for semantic facial attribute editing.  ...  In this work, we propose a novel cross channel self-attention based generative adversarial network (CCA-GAN), which weights the importance of multiple channels of features and archives pixel-level feature  ...  Self-Attention Generative Adversarial Network (CCA-GAN), for facial attribute editing.  ... 
doi:10.3837/tiis.2021.06.010 fatcat:27byrtpzrrcqzms6uizptmunh4

TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing [article]

Yanbo Xu, Yueqin Yin, Liming Jiang, Qianyi Wu, Chengyao Zheng, Chen Change Loy, Bo Dai, Wayne Wu
2022 arXiv   pre-print
In this study, we highlight the importance of interaction in a dual-space GAN for more controllable editing. We propose TransEditor, a novel Transformer-based framework to enhance such interaction.  ...  Extensive experiments demonstrate the superiority of the proposed framework in image quality and editing capability, suggesting the effectiveness of TransEditor for highly controllable facial editing.  ...  We propose TransEditor, a novel Transformer-based dual-space GAN for highly controllable facial attribute editing.  ... 
arXiv:2203.17266v1 fatcat:fl6azuhuuve2tnkbzhzmzjgsw4

MU-GAN: Facial Attribute Editing based on Multi-attention Mechanism [article]

Ke Zhang, Yukun Su, Xiwang Guo, Liang Qi, Zhenbing Zhao
2020 arXiv   pre-print
Facial attribute editing has mainly two objectives: 1) translating image from a source domain to a target one, and 2) only changing the facial regions related to a target attribute and preserving the attribute-excluding  ...  In this work, we propose a Multi-attention U-Net-based Generative Adversarial Network (MU-GAN).  ...  ACKNOWLEDGMENT The authors gratefully acknowledge the support of NVIDIA Corporation with the donation of the GPU used for this research.  ... 
arXiv:2009.04177v1 fatcat:p3xdfb5w3zetfm2cvtx52h5enq

AttGAN: Facial Attribute Editing by Only Changing What You Want [article]

Zhenliang He, Wangmeng Zuo, Meina Kan, Shiguang Shan, Xilin Chen
2018 arXiv   pre-print
Facial attribute editing aims to manipulate single or multiple attributes of a face image, i.e., to generate a new face with desired attributes while preserving other details.  ...  Based on the encoder-decoder architecture, facial attribute editing is achieved by decoding the latent representation of the given face conditioned on the desired attributes.  ...  Facial Attribute Editing There are two types of methods for facial attribute editing, the optimization based ones [17] , [18] and the learning based ones [7] - [14] , [16] .  ... 
arXiv:1711.10678v3 fatcat:ru6d7xuxszcwnks6s7srohyzfu
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