西北大学学报(自然科学版)

[1] 王琳，赵俊莉，段福庆，等.颅面复原方法综述[J].计算机工程，2019,45(12):8-18.WANG L,ZHAO J L,DUAN F Q,et al.Survey on craniofacial reconstruction method[J].Computer Engineering,2019,45(12):8-18.

[2] REZENDE D J,MOHAMED S,WIERSTRA D.Stochastic backpropagation and approximate inference in deep generative models[C]//International conference on machine learning(ICML).Beijing:PMLR,2014:1278-1286.

[3] HO J,JAIN A,ABBEEL P.Denoising diffusion probabilistic models[J].Advances in Neural Information Processing Systems,2020,33:6840-6851.

[4] GOODFELLOW I,POUGET-ABADIE J,MIRZA M,et al.Generative adversarial networks[J].Communications of the ACM,2020,63(11):139-144.

[5] XIE S,XU Y,GONG M,et al.Unpaired image-to-image translation with shortest path regularization[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR).Los Angeles:IEEE,2023:10177-10187.

[6] BUI N T,NGUYEN H D,BUI-HUYNH T N,et al.Efficient loss functions for GAN-based style transfer[C]//Fifteenth International Conference on Machine Vision(ICMV).Yerevan:SPIE,2023:373-380.

[7] REN Y,YU X,CHEN J,et al.Deep image spatial transformation for person image generation[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR).Seattle:IEEE,2020:7690-7699.

[8] ZHU J Y,PARK T,ISOLA P,et al.Unpaired image-to-image translation using cycle-consistent adversarial networks[C]//Proceedings of the IEEE international conference on computer vision(ICCV).Venice:IEEE,2017:2223-2232.

[9] LIU M Y,BREUEL T,KAUTZ J.Unsupervised image-to-image translation networks[C]//Proceedings of the 31st International Conference on Neural Information Processing Systems(NeurIPS).Long Beach:ACM,2017:700-708.

[10] 税午阳，邓擎琼，吴秀杰，等.颅面复原技术在体质人类学中的应用[J].人类学学报，2021,40(4):706-720.SHUI W Y,DENG Q Q,WU X J,et al.An overview of craniofacial reconstruction technology application in physical anthropology[J].Acta Anthropologica Sinic,2021,40(4):706-720.

[11] VANEZIS P,BLOWES R W,LINNEY A D,et al.Application of 3-D computer graphics for facial reconstruction and comparison with sculpting techniques[J].Forensic Science International,1989,42(1/2):69-84.

[12] DEGREEF S,VANDERMEULEN D,CLAES P,et al.The influence of sex,age and body mass index on facial soft tissue depths[J].Forensic Science,Medicine,and Pathology,2009,5:60-65.

[13] GIETZEN T,BRYLKA R,ACHENBACH J,et al.A method for automatic forensic facial reconstruction based on dense statistics of soft tissue thickness[J].PLoS One,2019,14(1):1-19.

[14] VANDERMEULEN D,CLAES P,LOECKX D,et al.Computerized craniofacial reconstruction using CT-derived implicit surface representations[J].Forensic Science International,2006,159:164-174.

[15] DESVIGNES M,BAILLY G,PAYAN Y,et al.3D semi-landmarks based statistical face reconstruction[J].Journal of Computing and Information Technology,2006,14(1):31-43.

[16] DUAN F,HUANG D,TIAN Y,et al.3D face reconstruction from skull by regression modeling in shape parameter spaces[J].Neurocomputing,2015,151:674-682.

[17] SHUI W,ZHOU M,MADDOCK S,et al.A PCA-Based method for determining craniofacial relationship and sexual dimorphism of facial shapes[J].Computers in Biology and Medicine,2017,90:33-49.

[18] 周明全，杨稳，林芃樾，等.基于最小二乘正则相关性分析的颅骨身份识别[J].光学精密工程，2021,29(1):201-210.ZHOU M Q,YANG W,LIN P Y,et al.Skull identification based on least square canonical correlation analysis[J].Optics and Precision Engineering,2021,29(1):201-210.

[19] ZHAO L,MA L,CUI Z,et al.FAST-Net:A coarse-to-fine pyramid network for face-skull transformation[C]//International Workshop on Machine Learning in Medical Imaging(MLMI).Cham:Springer Nature Switzerland,2023:104-113.

[20] LIN P Y,YANG W,XIA S Y,et al.CFR-GAN:A generative model for craniofacial reconstruction[C]//2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).Houston:IEEE,2021:462-469.

[21] ZHANG N,ZHAO J,DUAN F,et al.An end-to-end conditional generative adversarial network based on depth map for 3D craniofacial reconstruction[C]//Proceedings of the 30th ACM International Conference on Multimedia(ACM,MM).Lisboa Portugal:ACM,2022:759-768.

[22] LI Y,WANG J,LIANG W,et al.CR-GAN:Automatic craniofacial reconstruction for personal identification[J].Pattern Recognition,2022,124:108400.

[23] ISOLA P,ZHU J Y,ZHOU T,et al.Image-to-image translation with conditional adversarial networks[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition(CVPR).Hawaii:IEEE,2017:1125-1134.

[24] MIRZA M,OSINDERO S.Conditionalgenerative adversarial nets[EB/OL].(2014-11-06) [2022-10-23].https://arxiv.org/abs/1411.1784.

[25] WANG T C,LIU M Y,ZHU J Y,et al.High-resolution image synthesis and semantic manipulation with conditional gans[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition(CVPR).Salt Lake:IEEE,2018:8798-8807.

[26] HUANG X,LIU M Y,BELONGIE S,et al.Multimodal unsupervised image-to-image translation[C]//Proceedings of the European conference on computer vision(ECCV).Munich:Springer,2018:172-189.

[27] LEE H Y,TSENG H Y,HUANG J B,et al.Diverse image-to-image translation via disentangled representations[C]//Proceedings of the European Conference on Computer Vision(ECCV).Munich:Springer,2018:35-51.

[28] KIM J,KIM M,KANG H,et al.U-GAT-IT:Unsupervised generative attentional networks with adaptive layer-instance normalization for image-to-image translation[C]//International Conference on Learning Representations.New Orleans:Ithaca,2019:1-19.

[29] TANG H,LIU H,XU D,et al.Attentiongan:Unpaired image-to-image translation using attention-guided generative adversarial networks[J].IEEE Transactions on Neural Networks and Learning Systems,2021,34(4):1972-1987.

[30] 陈晓雷，杨佳，梁其铎.结合语义先验和深度注意力残差的图像修复[J].计算机科学与探索，2023,17(10):2450-2461.CHEN X L,YANG J,LIANG Q D.Image inpainting combining semantic priors and deep attention residuals[J].Journal of Frontiers of Computer Science and Technology,2023,17(10):2450-2461.

[31] LIU M,DING Y,XIA M,et al.Stgan:A unified selective transfer network for arbitrary image attribute editing[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR).Long Beach:IEEE,2019:3673-3682.

[32] CHEN X,PAN J,JIANG K,et al.Unpaired deep image deraining using dual contrastive learning[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR).Ner Orleans:IEEE,2022:2017-2026.

[33] PARK J,WOO S,LEE JY,et al.Bam:Bottleneckattention module[EB/OL].(2018-07-17) [2022-11-10].https://arxiv.org/abs/1807.06514.

[34] HAASE D,AMTHOR M.Rethinking depthwise separable convolutions:How intra-kernel correlations lead to improved mobilenets[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR).Virtual:IEEE,2020:14600-14609.

[35] RADFORDA,METZ L,CHINTALA S.Unsupervisedrepresentation learning with deep convolutional generative adversarial networks[EB/OL].(2015-11-19) [2023-03-15].https://arxiv.org/abs/1511.06434.

[36] MAO X,LI Q,XIE H,et al.Least squares generative adversarial networks[C]//Proceedings of the IEEE International Conference on Computer Vision(ICCV).Venice:IEEE,2017:2794-2802.

[37] CHEN R,HUANG W,HUANG B,et al.Reusing discriminators for encoding:Towards unsupervised image-to-image translation[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR).Virtual:IEEE,2020:8168-8177.

[38] YANG X,JIA X,GONG D,et al.LARNeXt:End-to-end lie algebra residual network for face recognition[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2023,45(10):11961-11976 .