Artist guided generation of video game production quality face textures

[1]  Stefanos Zafeiriou,et al.  UV-GAN: Adversarial Facial UV Map Completion for Pose-Invariant Face Recognition , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

[2]  Taesung Park,et al.  Semantic Image Synthesis With Spatially-Adaptive Normalization , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[3]  Edwin R. Hancock,et al.  Example-Based Modeling of Facial Texture from Deficient Data , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

[4]  Xuejin Chen,et al.  LinesToFacePhoto: Face Photo Generation From Lines With Conditional Self-Attention Generative Adversarial Networks , 2019, ACM Multimedia.

[5]  Christian Murphy,et al.  Appearance Controlled Face Texture Generation for Video Game Characters , 2020, MIG.

[6]  Stefanos Zafeiriou,et al.  GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[7]  Stefanos Zafeiriou,et al.  Large Scale 3D Morphable Models , 2017, International Journal of Computer Vision.

[8]  Hao Li,et al.  Photorealistic Facial Texture Inference Using Deep Neural Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[9]  Matthew Turk,et al.  A Morphable Model For The Synthesis Of 3D Faces , 1999, SIGGRAPH.

[10]  Stefanos Zafeiriou,et al.  AvatarMe: Realistically Renderable 3D Facial Reconstruction “In-the-Wild” , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[11]  Pieter Peers,et al.  Deep inverse rendering for high-resolution SVBRDF estimation from an arbitrary number of images , 2019, ACM Trans. Graph..

[12]  Zhigang Deng,et al.  Crafting 3D faces using free form portrait sketching and plausible texture inference , 2010, Graphics Interface.

[13]  Jean-Luc Dugelay,et al.  Face aging with conditional generative adversarial networks , 2017, 2017 IEEE International Conference on Image Processing (ICIP).

[14]  Shigeo Morishima,et al.  High-fidelity facial reflectance and geometry inference from an unconstrained image , 2018, ACM Trans. Graph..

[15]  Ron Kimmel,et al.  High Quality Facial Surface and Texture Synthesis via Generative Adversarial Networks , 2018, ECCV Workshops.

[16]  Yoshua Bengio,et al.  Understanding the difficulty of training deep feedforward neural networks , 2010, AISTATS.

[17]  Adrien Bousseau,et al.  Single-image SVBRDF capture with a rendering-aware deep network , 2018, ACM Trans. Graph..

[18]  Sebastian Ramos,et al.  The Cityscapes Dataset for Semantic Urban Scene Understanding , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[19]  Ron Kimmel,et al.  Synthesizing facial photometries and corresponding geometries using generative adversarial networks , 2019, ACM Transactions on Multimedia Computing, Communications, and Applications.

[20]  Alexei A. Efros,et al.  Image-to-Image Translation with Conditional Adversarial Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[21]  Jan Kautz,et al.  High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

[22]  Radu Timofte,et al.  AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results , 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).

[23]  Pieter Peers,et al.  Rapid Acquisition of Specular and Diffuse Normal Maps from Polarized Spherical Gradient Illumination , 2007 .

[24]  Derek Bradley,et al.  Recent Advances in Facial Appearance Capture , 2015, Comput. Graph. Forum.

[25]  拓海 杉山,et al.  “Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks”の学習報告 , 2017 .

[26]  Chengchao Qu,et al.  Patch-based facial texture super-resolution by fitting 3D face models , 2019, Machine Vision and Applications.

[27]  Eric Paquette,et al.  Efficient editing of aged object textures , 2007, AFRIGRAPH '07.

[28]  Ron Kimmel,et al.  Unrestricted Facial Geometry Reconstruction Using Image-to-Image Translation , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

[29]  Xiao Li,et al.  Modeling surface appearance from a single photograph using self-augmented convolutional neural networks , 2017, ACM Trans. Graph..

[30]  Christian Ledig,et al.  Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[31]  Adrien Bousseau,et al.  Flexible SVBRDF Capture with a Multi‐Image Deep Network , 2019, Comput. Graph. Forum.

[32]  Paul E. Debevec,et al.  Acquiring the reflectance field of a human face , 2000, SIGGRAPH.

[33]  R. Bhopal,et al.  Glossary of terms relating to ethnicity and race: for reflection and debate , 2004, Journal of Epidemiology and Community Health.

[34]  Ming-Hsuan Yang,et al.  Generative Face Completion , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[35]  Hao Li,et al.  Learning Formation of Physically-Based Face Attributes , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[36]  Thomas Brox,et al.  U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.

[37]  Joshua Correll,et al.  The Chicago face database: A free stimulus set of faces and norming data , 2015, Behavior research methods.

[38]  Wan-Chun Ma,et al.  The Digital Emily Project: Achieving a Photorealistic Digital Actor , 2010, IEEE Computer Graphics and Applications.

[39]  Tiberiu Popa,et al.  Part-Based 3D Face Morphable Model with Anthropometric Local Control , 2019, Graphics Interface.

[40]  Kalyan Sunkavalli,et al.  Materials for Masses: SVBRDF Acquisition with a Single Mobile Phone Image , 2018, ECCV.