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A Foreground-Aware Framework for Local Face Attribute Transfer

Yuanbin Fu, Jiayi Ma, Xiaojie Guo
2021 Entropy  
The fusion of the warped reference image and input image is then taken as the initialized image for a neural style transfer algorithm.  ...  To overcome this problem, we developed a novel framework for semantically meaningful local face attribute transfer, which can flexibly transfer the local attribute of a face organ from the reference image  ...  [3] proposed using CNNs for neural style transfer, researchers have increasingly focused on this research field, and a large number of studies using deep learning for style transfer is published every  ... 
doi:10.3390/e23050615 pmid:34065640 pmcid:PMC8156749 fatcat:iy24mqqjurfdbmhidu2yq3gvri

Automatic Semantic Style Transfer using Deep Convolutional Neural Networks and Soft Masks [article]

Huihuang Zhao, Paul L. Rosin, Yu-Kun Lai
2017 arXiv   pre-print
Both the soft masks and source images are provided as multichannel input to an augmented deep CNN framework for style transfer which incorporates a generative Markov random field (MRF) model.  ...  This paper presents an automatic image synthesis method to transfer the style of an example image to a content image.  ...  We also would like to thank NVIDIA for the GPU donation.  ... 
arXiv:1708.09641v1 fatcat:urf6hxpvqfcmdfylhtwevze5eu

Visual Attribute Transfer through Deep Image Analogy [article]

Jing Liao, Yuan Yao, Lu Yuan, Gang Hua, Sing Bing Kang
2017 arXiv   pre-print
To accomplish this, it adapts the notion of "image analogy" with features extracted from a Deep Convolutional Neutral Network for matching; we call our technique Deep Image Analogy.  ...  We validate the effectiveness of our proposed method in a variety of cases, including style/texture transfer, color/style swap, sketch/painting to photo, and time lapse.  ...  Acknowledgements We thank the anonymous reviewers for helping us to improve this paper, David Wipf for his help in proofreading.  ... 
arXiv:1705.01088v2 fatcat:lfz6szbjuzbirdrwfxmfo7qbjy

Guided Facial Skin Color Correction

Keiichiro Shirai, Tatsuya Baba, Shunsuke Ono, Masahiro Okuda, Yusuke Tatesumi, Paul Perrotin
2021 Signals  
This paper proposes an automatic image correction method for portrait photographs, which promotes consistency of facial skin color by suppressing skin color changes due to background colors.  ...  In portrait photographs, skin color is often distorted due to the lighting environment (e.g., light reflected from a colored background wall and over-exposure by a camera strobe).  ...  The method proposed in [13] can also transfer the style of the original image to the target one. However, it also edits clothes and performs well only for headshot photos.  ... 
doi:10.3390/signals2030033 fatcat:zgkkvxfb7ngpxdtuheh2vvjbma

Adversarial Learning of Deepfakes in Accounting [article]

Marco Schreyer, Timur Sattarov, Bernd Reimer, Damian Borth
2019 arXiv   pre-print
Finally, we demonstrate how such a model can be maliciously misused by a perpetrator to generate robust 'adversarial' journal entries that mislead CAATs.  ...  In this work, we show an adversarial attack against CAATs using deep neural networks.  ...  Acknowledgements We thank the members of the statistics department at Deutsche Bundesbank for their valuable review and remarks.  ... 
arXiv:1910.03810v1 fatcat:7lzr63ahcbh7vm4n2y4xxr33bq

Deep Learning and Synthetic Media [article]

Raphaël Millière
2022 arXiv   pre-print
Here, I focus instead on a set of issues related to the notion of synthetic audiovisual media, its place within a broader taxonomy of audiovisual media, and how deep learning techniques differ from more  ...  After reviewing important etiological features of deep learning pipelines for media manipulation and generation, I argue that "deepfakes" and related synthetic media produced with such pipelines do not  ...  Virtually no artistic skills are required for to make a photograph look like a line drawing or a Van Gogh painting with style transfer, to produce a rock song in the style and voice of Elvis Presley using  ... 
arXiv:2205.05764v1 fatcat:6th5uy6zifgydj4cbecvs3fw4u

A Comprehensive Survey on Computational Aesthetic Evaluation of Visual Art Images: Metrics and Challenges

Jiajing Zhang, Yongwei Miao, Jinhui Yu
2021 IEEE Access  
Besides, we systematically evaluate recent deep learning techniques that are useful for developing robust models for aesthetic prediction tasks in scoring, distribution, attribute, and description.  ...  We hope that our survey could serve as a comprehensive reference source for future research on computational aesthetics in visual media.  ...  in Kandinsky style [138] , or migrates the styles of paintings to photo images to mimic brush strokes and texture patterns, which is called style transfer [139] .  ... 
doi:10.1109/access.2021.3083075 fatcat:zukn4uhlinejjdubdezsdghh5i

Image Aesthetic Assessment: An experimental survey

Yubin Deng, Chen Change Loy, Xiaoou Tang
2017 IEEE Signal Processing Magazine  
In addition, following the emergence of deep learning techniques, we systematically evaluate recent deep learning settings that are useful for developing a robust deep model for aesthetic scoring.  ...  We hope that our survey could serve as a comprehensive reference source for future research on the study of image aesthetic assessment.  ...  In addition, following the recent emergence of deep learning techniques, we systematically evaluate different techniques that could facilitate the learning of a robust deep classifier for aesthetic arXiv  ... 
doi:10.1109/msp.2017.2696576 fatcat:eexxuo6d3rbndfvubemsd7mxtu

Artificial Intelligence in the Creative Industries: A Review [article]

Nantheera Anantrasirichai, David Bull
2021 arXiv   pre-print
(RNNs) and Deep Reinforcement Learning (DRL).  ...  We foresee that, in the near future, machine learning-based AI will be adopted widely as a tool or collaborative assistant for creativity.  ...  For example pix2pix has been used 33 to create a Renaissance portrait from a real portrait photo. Following pix2pix, a large number of research works have improved the performance of style transfer.  ... 
arXiv:2007.12391v5 fatcat:mn2xqeylyrbabbu5zwln3admtm

Artificial intelligence in the creative industries: a review

Nantheera Anantrasirichai, David Bull
2021 Artificial Intelligence Review  
(RNNs) and deep Reinforcement Learning (DRL).  ...  We foresee that, in the near future, ML-based AI will be adopted widely as a tool or collaborative assistant for creativity.  ...  For example pix2pix has been used 33 to create a Renaissance portrait from a real portrait photo. Following pix2pix, a large number of research works have improved the performance of style transfer.  ... 
doi:10.1007/s10462-021-10039-7 fatcat:tcctdi7vprfx7mlujvqmpiy3ru

Lighting- and Personal Characteristic-Aware Markov Random Field Model for Facial Image Relighting System

Ching-Ting Tu, Hwei-Jen Lin, Chin-Yu Chang
2022 IEEE Access  
Furthermore, in some entertainment applications, there is a need for headshot portraits taken under particular lighting conditions to present a certain lighting style.  ...  In this study, we propose a facial relighting framework for relighting a 2D image of a given source lighting condition in a target light whose style is defined by some pairwise light examples from different  ... 
doi:10.1109/access.2022.3150341 fatcat:ww3gk46qhzdxhkzihu5t4kd7ke

Context-Aware Text-Based Binary Image Stylization and Synthesis [article]

Shuai Yang, Jiaying Liu, Wenhan Yang, Zongming Guo
2018 pre-print
In this work, we present a new framework for the stylization of text-based binary images.  ...  To accomplish the task, we propose legibility-preserving structure and texture transfer algorithms, which progressively narrow the visual differences between the binary image and the style image.  ...  More recently, Shih et al. employed fine-grained patch/pixel correspondences to transfer illumination and color styles for landscape images [18] and headshot portraits [19] . Yan et al.  ... 
doi:10.1109/tip.2018.2873064 pmid:30281458 arXiv:1810.03767v1 fatcat:abqzfdp6pvfzxgngkv3wxo3z6i

Politics [chapter]

Ian Scott, Henry Thompson
2019 The cinema of Oliver Stone  
Later decades saw the introduction and development of cinema vérité styles that shifted towards reality formats and rolling news style portrayals, from D. A.  ...  In a remarkable editorial published on 13 April 2002, the New York Times described Chávez as a 'ruinous demagogue', and hailed the transfer of power to a 'respected business leader', Pedro Carmona. 55  ... 
doi:10.7765/9781526147240.00009 fatcat:fsc4q6hzojdfppjkztr3dfuefa

From Typologies to Portraits: Catherine Opie's Photographic Manipulations of Physiognomic Imagery

Jennifer Bridges
2005
her gait and carriage, severe features, deep voice, robust skeleton, powerful muscles and absence of adipose layers have the stamp of masculine character.22 Such description exemplifies, according to feminist  ...  Transferably, the essential difference between a lesbian person and a straight person is equally as absurd.  ... 
doi:10.25772/hceq-pm80 fatcat:4wy4kzafozgrpghuayol7pzziu

Revisiting Weakly Supervised Pre-Training of Visual Perception Models [article]

Mannat Singh, Laura Gustafson, Aaron Adcock, Vinicius de Freitas Reis, Bugra Gedik, Raj Prateek Kosaraju, Dhruv Mahajan, Ross Girshick, Piotr Dollár, Laurens van der Maaten
2022
Overall, our results provide a compelling argument for the use of weakly supervised learning in the development of visual recognition systems.  ...  We study the performance of the resulting models in various transfer-learning settings including zero-shot transfer.  ...  Decaf: A deep arXiv:2108.05887, 2021. 2 convolutional activation feature for generic visual recogni- [6] Emily M.  ... 
doi:10.48550/arxiv.2201.08371 fatcat:uhqgqvnxvfacngmtkfjn7x2dsq
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