11.14.3.9.3 Inpainting Face Images, Facial Images

Chapter Contents (Back)
Inpainting. Face Inpainting. Faces. Includes editing, touch-up, etc.

Padalkar, M.G.[Milind G.], Joshi, M.V.[Manjunath V.],
Auto-inpainting heritage scenes: a complete framework for detecting and infilling cracks in images and videos with quantitative assessment,
MVA(26), No. 2-3, April 2015, pp. 317-337.
WWW Link. 1504
BibRef

Padalkar, M.G.[Milind G.], Vora, M.V.[Manali V.], Joshi, M.V.[Manjunath V.], Zaveri, M.A.[Mukesh A.],
Identifying Vandalized Regions in Facial Images of Statues for Inpainting,
MM4CH13(208-217).
Springer DOI 1309
BibRef

Padalkar, M.G.[Milind G.], Zaveri, M.A.[Mukesh A.], Joshi, M.V.[Manjunath V.],
SVD Based Automatic Detection of Target Regions for Image Inpainting,
eHeritage12(II:61-71).
Springer DOI 1304
BibRef

Sulam, J., Elad, M.,
Large Inpainting of Face Images With Trainlets,
SPLetters(23), No. 12, December 2016, pp. 1839-1843.
IEEE DOI 1612
image restoration BibRef

Jampour, M.[Mahdi], Li, C.[Chen], Yu, L.F.[Lap-Fai], Zhou, K.[Kun], Lin, S.[Stephen], Bischof, H.[Horst],
Face inpainting based on high-level facial attributes,
CVIU(161), No. 1, 2017, pp. 29-41.
Elsevier DOI 1708
Face, inpainting BibRef

Ren, Y.[Yi], Romano, Y.[Yaniv], Elad, M.[Michael],
Example-Based Image Synthesis via Randomized Patch-Matching,
IP(27), No. 1, January 2018, pp. 220-235.
IEEE DOI 1712
image matching, image texture, coherent image, estimated image, face images, handwritten digits, image processing, t-SNE BibRef

Xue, N.N.[Nian-Nan], Deng, J.K.[Jian-Kang], Cheng, S.Y.[Shi-Yang], Panagakis, Y.[Yannis], Zafeiriou, S.P.[Stefanos P.],
Side Information for Face Completion: A Robust PCA Approach,
PAMI(41), No. 10, October 2019, pp. 2349-2364.
IEEE DOI 1909
Generative adversarial networks, Face, Principal component analysis, Face recognition, in the wild BibRef

Han, C., Wang, J.,
Face Image Inpainting With Evolutionary Generators,
SPLetters(28), 2021, pp. 190-193.
IEEE DOI 2102
Generators, Image restoration, Faces, Training, Neuro-evolution, Autoencoder, Face Image Inpainting BibRef

Li, X.W.[Xue-Wei], Li, X.M.[Xue-Ming], Zhang, X.L.[Xian-Lin], Liu, Y.[Yang], Liang, J.Y.[Jia-Yi], Guo, Z.L.[Zi-Liang], Zhai, K.Y.[Ke-Yu],
A method of inpainting moles and acne on the high-resolution face photos,
IET-IPR(15), No. 3, 2021, pp. 833-844.
DOI Link 2106
BibRef

Sharma, S.[Sahil], Kumar, V.[Vijay],
3D landmark-based face restoration for recognition using variational autoencoder and triplet loss,
IET-Bio(10), No. 1, 2021, pp. 87-98.
DOI Link 2106
BibRef

Rathgeb, C.[Christian], Bernardo, K.[Kevin], Haryanto, N.E.[Nathania E.], Busch, C.[Christoph],
Effects of image compression on face image manipulation detection: A case study on facial retouching,
IET-Bio(10), No. 3, 2021, pp. 342-355.
DOI Link 2106
BibRef

Liu, J.[Jing], Wang, W.K.[Wei-Kang], Yu, J.X.[Jie-Xiao], Zhang, C.P.[Chun-Ping], Su, Y.T.[Yu-Ting],
3DFP-FCGAN: Face completion generative adversarial network with 3D facial prior,
JVCIR(82), 2022, pp. 103380.
Elsevier DOI 2201
Face completion, 2D geometry priors, 3D depth prior, Generative model BibRef

Ma, X.[Xin], Zhou, X.Q.[Xiao-Qiang], Huang, H.B.[Huai-Bo], Jia, G.Y.[Geng-Yun], Chai, Z.H.[Zhen-Hua], Wei, X.L.[Xiao-Lin],
Contrastive attention network with dense field estimation for face completion,
PR(124), 2022, pp. 108465.
Elsevier DOI 2203
Face completion, Unsupervised learning, Attention mechanism, 3D Face analysis BibRef

Zhang, X.[Xian], Wang, X.[Xin], Shi, C.H.[Cang-Hong], Yan, Z.[Zhe], Li, X.J.[Xiao-Jie], Kong, B.[Bin], Lyu, S.W.[Si-Wei], Zhu, B.[Bin], Lv, J.C.[Jian-Cheng], Yin, Y.B.[You-Bing], Song, Q.[Qi], Wu, X.[Xi], Mumtaz, I.[Imran],
DE-GAN: Domain Embedded GAN for High Quality Face Image Inpainting,
PR(124), 2022, pp. 108415.
Elsevier DOI 2203
Face Inpainting, Domain Embedding, Adversarial Generative Model BibRef

Kang, J.[Jiwoo], Lee, S.[Seongmin], Lee, S.H.[Sang-Hoon],
Competitive Learning of Facial Fitting and Synthesis Using UV Energy,
SMCS(52), No. 5, May 2022, pp. 2858-2873.
IEEE DOI 2205
Shape, Faces, Solid modeling, Training, Image reconstruction, Computational modeling, Energy-based GAN, UV completion BibRef

Dinesh, P.S., Manikandan, M.,
Fully convolutional Deep Stacked Denoising Sparse Auto encoder network for partial face reconstruction,
PR(130), 2022, pp. 108783.
Elsevier DOI 2206
Partial face recognition, Deep learning algorithm, Fully convolutional network, Autoencoder BibRef

Li, H.L.[Hong-Lei], Wang, W.[Wenmin], Yu, C.[Cheng], Zhang, S.X.[Shi-Xiong],
SwapInpaint: Identity-Specific Face Inpainting With Identity Swapping,
CirSysVideo(32), No. 7, July 2022, pp. 4271-4281.
IEEE DOI 2207
Faces, Face recognition, Task analysis, Training, Codes, Semantics, Predictive models, Identity-specific inpainting, face swapping BibRef


Kim, J.[Jongyoo], Yang, J.[Jiaolong], Tong, X.[Xin],
Learning High-Fidelity Face Texture Completion without Complete Face Texture,
ICCV21(13970-13979)
IEEE DOI 2203
Training, Deep learning, Solid modeling, Supervised learning, Neural networks, Image and video synthesis, Faces BibRef

Gao, X.Y.[Xin-Yi], Nguyen, M.[Minh], Yan, W.Q.[Wei Qi],
Face Image Inpainting Based on Generative Adversarial Network,
IVCNZ21(1-6)
IEEE DOI 2201
Measurement, Computational modeling, Neural networks, Mean square error methods, Generative adversarial networks, convolutional neural network BibRef

Li, Y.L.[Yue-Long], Yan, J.L.[Jia-Liang], Wang, J.M.[Jian-Ming],
GPG-NET: Face Inpainting With Generative Parsing Guidance,
ICIP21(2014-2018)
IEEE DOI 2201
Semantics, Task analysis, Faces, Image reconstruction, Face Inpainting, Parsing Guidance, Generative Adversarial, Contextual Attention BibRef

Jam, J.[Jireh], Kendrick, C.[Connah], Drouard, V.[Vincent], Walker, K.[Kevin], Yap, M.H.[Moi Hoon],
Foreground-Guided Facial Inpainting with Fidelity Preservation,
CAIP21(II:231-241).
Springer DOI 2112
BibRef

Li, J.[Jia], Li, Z.Y.[Zhao-Yang], Cao, J.[Jie], Song, X.G.[Xing-Guang], He, R.[Ran],
FaceInpainter: High Fidelity Face Adaptation to Heterogeneous Domains,
CVPR21(5085-5094)
IEEE DOI 2111
Codes, Shape, Face recognition, Fitting, Rendering (computer graphics) BibRef

Shafaei, A.[Alireza], Little, J.J.[James J.], Schmidt, M.[Mark],
AutoRetouch: Automatic Professional Face Retouching,
WACV21(989-997)
IEEE DOI 2106
Photography, Smoothing methods, Pipelines, Skin, Faces BibRef

Wu, Y., Singh, V., Kapoor, A.,
From Image to Video Face Inpainting: Spatial-Temporal Nested GAN (STN-GAN) for Usability Recovery,
WACV20(2385-2394)
IEEE DOI 2006
Face, Generators, Usability, Task analysis, Image color analysis BibRef

Chen, W.T.[Wen-Ting], Shen, L.L.[Lin-Lin], Lai, Z.H.[Zhi-Hui],
Introspective GAN for Meshface Recognition,
ICIP19(3472-3476)
IEEE DOI 1910
Chinese agency photos have a mesh-like curves on them. Meshface recognition, mesh-like curves removal, GAN, introspective modules, image translation BibRef

Zeng, Y.[Yu], Lin, Z.[Zhe], Lu, H.C.[Hu-Chuan], Patel, V.M.[Vishal M.],
CR-Fill: Generative Image Inpainting with Auxiliary Contextual Reconstruction,
ICCV21(14144-14153)
IEEE DOI 2203
Training, Visualization, Codes, Computational modeling, Generators, Task analysis, Image and video synthesis, Neural generative models BibRef

Yu, J.H.[Jia-Hui], Lin, Z.[Zhe], Yang, J.M.[Ji-Mei], Shen, X.H.[Xiao-Hui], Lu, X.[Xin], Huang, T.S.[Thomas S.],
Generative Image Inpainting with Contextual Attention,
CVPR18(5505-5514)
IEEE DOI 1812
Face, Image reconstruction, Training, Task analysis, Convolutional neural networks, Convolutional codes BibRef

Liao, H.[Haofu], Funka-Lea, G.[Gareth], Zheng, Y.F.[Ye-Feng], Luo, J.B.[Jie-Bo], Zhou, S.K.[S. Kevin],
Face Completion with Semantic Knowledge and Collaborative Adversarial Learning,
ACCV18(I:382-397).
Springer DOI 1906
BibRef

Sun, Q., Ma, L., Oh, S.J.[S. Joon], Van Gool, L.J., Schiele, B., Fritz, M.,
Natural and Effective Obfuscation by Head Inpainting,
CVPR18(5050-5059)
IEEE DOI 1812
Magnetic heads, Decoding, Face, Social network services, Generators, Task analysis BibRef

Chen, Y.A., Chen, W.C., Wei, C.P., Wang, Y.C.F.,
Occlusion-aware face inpainting via generative adversarial networks,
ICIP17(1202-1206)
IEEE DOI 1803
Face, Face recognition, Generators, Image reconstruction, Task analysis, Training, Face inpainting, generative adversarial networks BibRef

Farrugia, R.A.[Reuben A.], Guillemot, C.[Christine],
Model and Dictionary Guided Face Inpainting in the Wild,
NTIRE16(I: 62-78).
Springer DOI 1704
BibRef

Zhang, J.W.[Jia-Wan], Zhan, R.[Rui], Sun, D.[Di], Pan, G.[Gang],
Symmetry-Aware Face Completion with Generative Adversarial Networks,
ACCV18(IV:289-304).
Springer DOI 1906
BibRef

Hwang, B.W.[Bon-Woo], Lee, S.W.[Seong-Whan],
Reconstructing a Whole Face Image from a Partially Damaged or Occluded Image by Multiple Matching,
ICB07(692-701).
Springer DOI 0708
BibRef

Mo, Z., Lewis, J.P., Neumann, U.,
Face Inpainting with Local Linear Representations,
BMVC04(xx-yy).
HTML Version. 0508
BibRef

Chapter on 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing continues in
Inpainting, Wavelet Based Methods .


Last update:Aug 14, 2022 at 21:20:19