Page 123 - 《软件学报》2026年第5期
P. 123

2002                                                       软件学报  2026  年第  37  卷第  5  期


                      00359]
                 [60]   Zheng HT, Chen LL, Xu CL, Luo JB. Unsupervised pose flow learning for pose guided synthesis. arXiv:1909.13819, 2019.
                 [61]   Tabejamaat M, Negin F, Bremond FF. Guided flow field estimation by generating independent patches. 2021. https://www.bmvc2021-
                      virtualconference.com/assets/papers/1038.pdf
                 [62]   Zablotskaia  P,  Siarohin  A,  Zhao  B,  Sigal  L.  DwNet:  Dense  warp-based  network  for  pose-guided  human  video  generation.  arXiv:
                      1910.09139, 2019.
                 [63]   Han XT, Huang WL, Hu XJ, Scott M. ClothFlow: A flow-based model for clothed person generation. In: Proc. of the 2019 IEEE/CVF
                      Int’l Conf. on Computer Vision (ICCV). Seoul: IEEE, 2019. 10470–10479. [doi: 10.1109/ICCV.2019.01057]
                 [64]   Tang H, Bai S, Torr PHS, Sebe N. Bipartite graph reasoning GANs for person image generation. arXiv:2008.04381, 2020.
                 [65]   Tang H, Bai S, Zhang L, Torr PHS, Sebe N. XingGAN for person image generation. In: Proc. of the 16th European Conf. on Computer
                      Vision. Glasgow: Springer, 2020. 717–734. [doi: 10.1007/978-3-030-58595-2_43]
                 [66]   Liu W, Piao Z, Tu Z, Luo WH, Ma L, Gao SH. Liquid warping GAN with attention: A unified framework for human image synthesis.
                      IEEE Trans. on Pattern Analysis and Machine Intelligence, 2022, 44(9): 5115–5133. [doi: 10.1109/TPAMI.2021.3078270]
                 [67]   Ren  YR,  Yu  XM,  Chen  JM,  Li  TH,  Li  G.  Deep  image  spatial  transformation  for  person  image  generation.  In:  Proc.  of  the  2020
                      IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR). Seattle: IEEE, 2020. 7687–7696. [doi: 10.1109/CVPR42600.
                      2020.00771]
                 [68]   Zhu Z, Huang TT, Shi BG, Yu M, Wang BF, Bai X. Progressive pose attention transfer for person image generation. In: Proc. of the
                      2019 IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR). Long Beach: IEEE, 2019. 2342–2351. [doi: 10.1109/
                      CVPR.2019.00245]
                 [69]   Zhu Z, Huang TT, Xu MD, Shi BG, Cheng WQ, Bai X. Progressive and aligned pose attention transfer for person image generation.
                      IEEE Trans. on Pattern Analysis and Machine Intelligence, 2022, 44(8): 4306–4320. [doi: 10.1109/TPAMI.2021.3068236]
                 [70]   Albahar B, Lu JW, Yang JM, Shu ZX, Shechtman E, Huang JB. Pose with style: Detail-preserving pose-guided image synthesis with
                      conditional StyleGAN. ACM Trans. on Graphics, 2021, 40(6): 218. [doi: 10.1145/3478513.3480559]
                 [71]   Deng  JK,  Cheng  SY,  Xue  NN,  Zhou  YX,  Zafeiriou  S.  UV-GAN:  Adversarial  facial  UV  map  completion  for  pose-invariant  face
                      recognition.  In:  Proc.  of  the  2018  IEEE/CVF  Conf.  on  Computer  Vision  and  Pattern  Recognition.  Salt  Lake  City:  IEEE,  2018.
                      7093–7102. [doi: 10.1109/cvpr.2018.00741]
                 [72]   Sarkar  K,  Mehta  D,  Xu  WP,  Golyanik  V,  Theobalt  C.  Neural  re-rendering  of  humans  from  a  single  image.  In:  Proc.  of  the  16th
                      European Conf. on Computer Vision (ECCV). Glasgow: Springer, 2020. 596–613. [doi: 10.1007/978-3-030-58621-8_35]
                 [73]   Sarkar  K,  Golyanik  V,  Liu  LJ,  Theobalt  C.  Style  and  pose  control  for  image  synthesis  of  humans  from  a  single  monocular  view.
                      arXiv:2102.11263, 2021.
                 [74]   Huang ZY, Li HH, Xie ZY, Kampffmeyer M, Cai QL, Liang XD. Towards hard-pose virtual try-on via 3D-aware global correspondence
                      learning. arXiv:2211.14052, 2022.
                 [75]   Booth J, Antonakos E, Ploumpis S, Trigeorgis G, Panagakis Y, Zafeiriou S. 3D face morphable models “in-the-wild”. In: Proc. of the
                      2017 IEEE Conf. on Computer Vision and Pattern Recognition (CVPR). Honolulu: IEEE, 2017. 5464–5473. [doi: 10.1109/cvpr.2017.
                      580]
                 [76]   Karras T, Laine S, Aila T. A style-based generator architecture for generative adversarial networks. IEEE Trans. on Pattern Analysis and
                      Machine Intelligence, 2021, 43(12): 4217–4228. [doi: 10.1109/TPAMI.2020.2970919]
                 [77]   Lathuilière S, Sangineto E, Siarohin A, Sebe N. Attention-based fusion for multi-source human image generation. In: Proc. of the 2020
                      IEEE Winter Conf. on Applications of Computer Vision (WACV). Snowmass: IEEE, 2020. 428–437. [doi: 10.1109/WACV45572.2020.
                      9093602]
                 [78]   Zhao J, Zhang H. Thin-plate spline motion model for image animation. In: Proc. of the 2022 IEEE/CVF Conf. on Computer Vision and
                      Pattern Recognition (CVPR). New Orleans: IEEE, 2022. 3647–3656. [doi: 10.1109/cvpr52688.2022.00364]
                 [79]   Siarohin  A,  Woodford  OJ,  Ren  J,  Chai  ML,  Tulyakov  S.  Motion  representations  for  articulated  animation.  In:  Proc.  of  the  2021
                      IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR). Nashville: IEEE, 2021. 13648–13657. [doi: 10.1109/cvpr46437.
                      2021.01344]
                 [80]   Xue JY, Wang HF, Tian Q, Ma Y, Wang AD, Zhao ZY, Min SB, Zhao WZ, Zhang KH, Shum HY, Liu W, Liu MY, Luo WH. Follow-
                      your-pose v2: Multiple-condition guided character image animation for stable pose control. arXiv:2406.03035, 2024.
                 [81]   Siarohin A, Lathuilière S, Tulyakov S, Ricci E, Sebe N. Animating arbitrary objects via deep motion transfer. In: Proc. of the 2019
                      IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR). Long Beach: IEEE, 2019. 2372–2381. [doi: 10.1109/CVPR.
                      2019.00248]
   118   119   120   121   122   123   124   125   126   127   128