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Face Synthesis from Visual Attributes via Sketch using Conditional VAEs and GANs [article]

Xing Di, Vishal M. Patel
2017 arXiv   pre-print
We first synthesize the facial sketch corresponding to the visual attributes and then we reconstruct the face image based on the synthesized sketch.  ...  Extensive experiments and comparison with recent methods are performed to verify the effectiveness of the proposed attribute-based three stage face synthesis method.  ...  [20] proposed a facial part-based method for attribute predication. Zhang et al. [43] proposed a method which combines part-based models and deep learning for learning attributes.  ... 
arXiv:1801.00077v1 fatcat:nrtlzlfvlzb7dbdkz56cobb3u4

Multi-Density Sketch-to-Image Translation Network [article]

Jialu Huang, Jing Liao, Zhifeng Tan, Sam Kwong
2020 arXiv   pre-print
This allows users to conveniently control the densities of input sketches and generation of images.  ...  Moreover, our method has been successfully verified on various datasets for different applications including face editing, multi-modal sketch-to-photo translation, and anime colorization, providing coarse-to-fine  ...  First sketching is a more intuitive and user-friendly way for image editing. Moreover, our method can control the Result Fig. 10 : Translation results based on sketches generated by MDSG.  ... 
arXiv:2006.10649v1 fatcat:65cvnfyfdja7vbmm66efzeh5va

Few-shot Image Generation via Cross-domain Correspondence [article]

Utkarsh Ojha, Yijun Li, Jingwan Lu, Alexei A. Efros, Yong Jae Lee, Eli Shechtman, Richard Zhang
2021 arXiv   pre-print
and target domains and generates more diverse and realistic images than previous methods.  ...  Training generative models, such as GANs, on a target domain containing limited examples (e.g., 10) can easily result in overfitting.  ...  Acknowledgements: We thank Daichi Ito for the beautiful caricatures. Part of the work was supported through NSF CAREER IIS-1751206 and Adobe Data Science Research Award.  ... 
arXiv:2104.06820v1 fatcat:wydnviay6favlbw5yi3d2dkzka

3D car shape reconstruction from a contour sketch using GAN and lazy learning

Naoki Nozawa, Hubert P. H. Shum, Qi Feng, Edmond S. L. Ho, Shigeo Morishima
2021 The Visual Computer  
To tackle the challenge, we propose a novel system to reconstruct a 3D car using a single sketch image.  ...  The system learns from a synthetic database of 3D car models and their corresponding 2D contour sketches and segmentation masks, allowing effective training with minimal data collection cost.  ...  In the first stage of car shape reconstruction, we adapt Generative Adversarial Network (GAN) [15] for getting the depth images and reconstruct a rough 3D shape that resembles the 2D contour sketches  ... 
doi:10.1007/s00371-020-02024-y fatcat:q62huylxcjej7js2i7fqcme7kq

Expression transfer for facial sketch animation

Yang Yang, Nanning Zheng, Yuehu Liu, Shaoyi Du, Yuanqi Su, Yoshifumi Nishio
2011 Signal Processing  
Based on the NET model, we present a hierarchical method to animate facial sketches. The motion vectors on the source face are adjusted from coarse to fine on the target face.  ...  And the shape difference between source and target faces will influence the animation quality for representing expressions.  ...  Acknowledgments The authors are grateful to the helpful comments and suggestions from the anonymous reviewers.  ... 
doi:10.1016/j.sigpro.2011.04.020 fatcat:xjpyy7m2s5hn7lc752uhcosn5e

DeepFaceEditing: Deep Face Generation and Editing with Disentangled Geometry and Appearance Control [article]

Shu-Yu Chen, Feng-Lin Liu, Yu-Kun Lai, Paul L. Rosin, Chunpeng Li, Hongbo Fu, Lin Gao
2021 arXiv   pre-print
Recent facial image synthesis methods have been mainly based on conditional generative models.  ...  The resulting method can either extract the geometry and appearance representations from face images, or directly extract the geometry representation from face sketches.  ...  We also adapted our system for novel applications such as sketch editing, hand-drawn sketch based face image generation and disentangled face morphing.  ... 
arXiv:2105.08935v2 fatcat:6qkkry7lyffobbk4g42av25s7y

Editorial: Recent advances in artificial neural networks and embedded systems for multi-source image fusion

Xin Jin, Jingyu Hou, Shin-Jye Lee, Dongming Zhou
2022 Frontiers in Neurorobotics  
Editorial on the Research Topic Recent advances in artificial neural networks and embedded systems for multi-source image fusion In the first work entitled "Multi-Focus Color Image Fusion Based on Quaternion  ...  Multi-Scale Singular Value Decomposition (QMSVD)", Wan et al. employed multichannel quaternion multi-scale singular value to decompose the multi-focus color images, and a set of low-frequency and high-frequency  ...  Yang et al. propose a face-swapping method based on a pretrained StyleGAN generator and designed a control strategy of the generator based on the idea of encoding and decoding to overcome the problem of  ... 
doi:10.3389/fnbot.2022.962170 fatcat:gjrefhvxqzayrpalphnxrw7z2y

Unconstrained Face Sketch Synthesis via Perception-Adaptive Network and A New Benchmark [article]

Lin Nie and Lingbo Liu and Zhengtao Wu and Wenxiong Kang
2021 arXiv   pre-print
Face sketch generation has attracted much attention in the field of visual computing.  ...  Specifically, our PANet is composed of i) a Fully Convolutional Encoder for hierarchical feature extraction, ii) a Face-Adaptive Perceiving Decoder for extracting potential facial region and handling face  ...  [12] combined generative Probabilistic Graphical Model and discriminative deep patch representation to jointly model the parameter distribution for deep patch representation and sketch patch reconstruction  ... 
arXiv:2112.01019v1 fatcat:yz2dufws7bdyhfil7vepvxfj6m

Towards Realistic Face Photo-Sketch Synthesis via Composition-Aided GANs [article]

Jun Yu, Xingxin Xu, Fei Gao, Shengjie Shi, Meng Wang, Dacheng Tao, and Qingming Huang
2020 arXiv   pre-print
In CA-GAN, we utilize paired inputs including a face photo/sketch and the corresponding pixel-wise face labels for generating a sketch/photo.  ...  Specially, we propose a novel composition-aided generative adversarial network (CA-GAN) for face photo-sketch synthesis.  ...  Recently, a number of trials are made to learn deep learning [26] based face sketch synthesis models. For example, Zhang et al.  ... 
arXiv:1712.00899v4 fatcat:nkyodfbo4veipp44ihea74jrc4

Demonstration of protocol for computer-aided forensic facial reconstruction with free software and photogrammetry

Cícero André da Costa Moraes, Paulo Eduardo Miamoto Dias, Rodolfo Francisco Haltenhoff Melani
2014 Journal of Research in Dentistry  
Purpose: Forensic facial reconstruction (FFR) is an auxiliary technique that approximates a face in order to generate identifications.  ...  The adaptation of the skin layer and finishing of the reconstruction is optimized with the use of templates. In this phase, details can also be hand-carved.  ...  face,! but! without! ears! and! neck.! At! this! point! the! layer! with! a! template! face! is! activated.! The! skin! of! this! generic! face! is! adapted! to! the! previously! sculpted! skin!  ... 
doi:10.19177/jrd.v2e1201477-90 fatcat:t5g53tz6obhsfhovetxjkjsku4

A survey on heterogeneous face recognition: Sketch, infra-red, 3D and low-resolution

Shuxin Ouyang, Timothy Hospedales, Yi-Zhe Song, Xueming Li, Chen Change Loy, Xiaogang Wang
2016 Image and Vision Computing  
We finish by assessing the state of the field and discussing promising directions for future research.  ...  A wide variety of new invariant features, cross-modality matching models and heterogeneous datasets being established in recent years.  ...  Facial landmarks in composite sketches and photos are automatically detected by an active shape model (ASM) [113] .  ... 
doi:10.1016/j.imavis.2016.09.001 fatcat:hy666szkk5bgfoazyxgwy6hli4

Free-HeadGAN: Neural Talking Head Synthesis with Explicit Gaze Control [article]

Michail Christos Doukas, Evangelos Ververas, Viktoriia Sharmanska, Stefanos Zafeiriou
2022 arXiv   pre-print
We show that modeling faces with sparse 3D facial landmarks are sufficient for achieving state-of-the-art generative performance, without relying on strong statistical priors of the face, such as 3D Morphable  ...  Compared to the latest models for reenactment and motion transfer, our system achieves higher photo-realism combined with superior identity preservation, while offering explicit gaze control.  ...  They can be further used for facial video compression and reconstruction [6] . Learning-based reenactment methods are classified either as person-specific or person-generic.  ... 
arXiv:2208.02210v1 fatcat:xwsne3f4lzegrmvcf2ij75huim

3D Face Reconstruction Techniques: Passive Methods

2019 International journal of recent technology and engineering  
This paper attempts to consolidate the research works that have happened in the history of 3D face reconstruction. Also, we try to classify the existing methods based on the input for the process.  ...  It supports a multitude of applications, ranging from face recognition and surveillance to medical imaging, gaming, animation, and virtual reality.  ...  In this a 3D dataset captured using Cyberware is employed to approximate an adaptable face model and then this generated face is adapted to match the input facial image. Blanz and T.  ... 
doi:10.35940/ijrte.b3152.078219 fatcat:5x2422hs45bgfcl43qreodsgzu

Learning to Sketch Human Facial Portraits using Personal Styles by Case-Based Reasoning [article]

Bingwen Jin, Songhua Xu, Weidong Geng
2016 arXiv   pre-print
Two models, fitness evaluation model and parameter estimation model, are learned for case retrieval and adaptation respectively from these cases.  ...  To explore the effectiveness and advantages of the novel approach, we experimentally compare the sketch portraits generated by the proposed method with that of a state-of-the-art example-based facial sketch  ...  Existing EBAR methods can be broadly classified as model-based and modelfree methods.  ... 
arXiv:1607.02715v2 fatcat:oe3l6eduajhujaxjcdk4h5dopq

Unsupervised 3D Reconstruction from a Single Image via Adversarial Learning [article]

Lingjing Wang, Yi Fang
2017 arXiv   pre-print
pairwise input image and its associated 3D model.  ...  Our experiments verify our network's robust and superior performance in handling 3D volumetric object generation from a single 2D image.  ...  Adversarial Networks For 2D image generation, such as indoor scenes [21] and human faces [22] , GAN based models, such as DCGAN [23] , show impressive performance.  ... 
arXiv:1711.09312v1 fatcat:epf33ijd75axnmcmcxmew3u5yq
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