“Dynamic neural garments” by Zhang, Wang, Ceylan and Mitra
Conference:
Type(s):
Title:
- Dynamic neural garments
Session/Category Title: Neural Rendering
Presenter(s)/Author(s):
Abstract:
A vital task of the wider digital human effort is the creation of realistic garments on digital avatars, both in the form of characteristic fold patterns and wrinkles in static frames as well as richness of garment dynamics under avatars’ motion. Existing workflow of modeling, simulation, and rendering closely replicates the physics behind real garments, but is tedious and requires repeating most of the workflow under changes to characters’ motion, camera angle, or garment resizing. Although data-driven solutions exist, they either focus on static scenarios or only handle dynamics of tight garments. We present a solution that, at test time, takes in body joint motion to directly produce realistic dynamic garment image sequences. Specifically, given the target joint motion sequence of an avatar, we propose dynamic neural garments to synthesize plausible dynamic garment appearance from a desired viewpoint. Technically, our solution generates a coarse garment proxy sequence, learns deep dynamic features attached to this template, and neurally renders the features to produce appearance changes such as folds, wrinkles, and silhouettes. We demonstrate generalization behavior to both unseen motion and unseen camera views. Further, our network can be fine-tuned to adopt to new body shape and/or background images. We demonstrate our method on a wide range of real and synthetic garments. We also provide comparisons against existing neural rendering and image sequence translation approaches, and report clear quantitative and qualitative improvements. Project page: http://geometry.cs.ucl.ac.uk/projects/2021/DynamicNeuralGarments/
References:
1. K. Aberman, M. Shi, J. Liao, D. Lischinski, B. Chen, and D. Cohen-Or. 2019. Deep Video-Based Performance Cloning. Computer Graphics Forum 38, 2 (2019), 219–233. arXiv:https://onlinelibrary.wiley.com/doi/pdf/10.1111/cgf.13632
2. Kara-Ali Aliev, Artem Sevastopolsky, Maria Kolos, Dmitry Ulyanov, and Victor Lempitsky. 2019. Neural point-based graphics. arXiv preprint arXiv:1906.08240 (2019).
3. Thiemo Alldieck, Marcus Magnor, Bharat Lal Bhatnagar, Christian Theobalt, and Gerard Pons-Moll. 2019. Learning to reconstruct people in clothing from a single RGB camera. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 1175–1186.
4. Aric Bartle, Alla Sheffer, Vladimir G. Kim, Danny M. Kaufman, Nicholas Vining, and Floraine Berthouzoz. 2016. Physics-driven Pattern Adjustment for Direct 3D Garment Editing. 35, 4, Article 50 (July 2016), 11 pages.
5. Bharat Lal Bhatnagar, Garvita Tiwari, Christian Theobalt, and Gerard Pons-Moll. 2019. Multi-garment net: Learning to dress 3d people from images. In Proceedings of the IEEE International Conference on Computer Vision. 5420–5430.
6. Caroline Chan, Shiry Ginosar, Tinghui Zhou, and Alexei A Efros. 2019a. Everybody Dance Now. In IEEE International Conference on Computer Vision (ICCV).
7. Caroline Chan, Shiry Ginosar, Tinghui Zhou, and Alexei A Efros. 2019b. Everybody dance now. In Proceedings of the IEEE International Conference on Computer Vision. 5933–5942.
8. Kwang-Jin Choi and Hyeong-Seok Ko. 2005. Research Problems in Clothing Simulation. Comput. Aided Des. 37, 6 (May 2005), 585–592.
9. Mengyu Chu, You Xie, Jonas Mayer, Laura Leal-Taixe, and Nils Thuerey. 2020. Learning Temporal Coherence via Self-Supervision for GAN-based Video Generation (TecoGAN). ACM Transactions on Graphics (TOG) 39, 4 (2020).
10. CLO Virtual Fashion Inc. 2020. Marvelous Designer. https://www.marvelousdesigner.com/.
11. Chris De Paoli and Karan Singh. 2015. SecondSkin: Sketch-Based Construction of Layered 3D Models. ACM Trans. Graph. 34, 4, Article 126 (July 2015), 10 pages.
12. Haoye Dong, Xiaodan Liang, Xiaohui Shen, Bowen Wu, Bing-Cheng Chen, and Jian Yin. 2019. FW-GAN: Flow-Navigated Warping GAN for Video Virtual Try-On. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV).
13. Wei-Wen Feng, Yizhou Yu, and Byung-Uck Kim. 2010. A Deformation Transformer for Real-Time Cloth Animation. ACM Trans. Graph. 29, 4, Article 108 (July 2010), 9 pages.
14. Jakub Fišer, Ondřej Jamriška, Michal Lukáč, Eli Shechtman, Paul Asente, Jingwan Lu, and Daniel Sỳkora. 2016. StyLit: illumination-guided example-based stylization of 3D renderings. ACM Transactions on Graphics (TOG) 35, 4 (2016), 1–11.
15. Russell Gillette, Craig Peters, Nicholas Vining, Essex Edwards, and Alla Sheffer. 2015. Real-Time Dynamic Wrinkling of Coarse Animated Cloth. In SCA (SCA ’15). 10 pages.
16. Peng Guan, Loretta Reiss, David A Hirshberg, Alexander Weiss, and Michael J Black. 2012. Drape: Dressing any person. ACM Transactions on Graphics (TOG) 31, 4 (2012), 1–10.
17. Erhan Gundogdu, Victor Constantin, Amrollah Seifoddini, Minh Dang, Mathieu Salzmann, and Pascal Fua. 2019. Garnet: A two-stream network for fast and accurate 3d cloth draping. In Proceedings of the IEEE International Conference on Computer Vision. 8739–8748.
18. Fabian Hahn, Bernhard Thomaszewski, Stelian Coros, Robert W Sumner, Forrester Cole, Mark Meyer, Tony DeRose, and Markus Gross. 2014. Subspace clothing simulation using adaptive bases. ACM Transactions on Graphics (TOG) 33, 4 (2014), 1–9.
19. Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter. 2017. Gans trained by a two time-scale update rule converge to a local nash equilibrium. In Advances in neural information processing systems. 6626–6637.
20. Daniel Holden, Bang Chi Duong, Sayantan Datta, and Derek Nowrouzezahrai. 2019. Subspace neural physics: fast data-driven interactive simulation. In Proceedings of the 18th annual ACM SIGGRAPH/Eurographics Symposium on Computer Animation. 1–12.
21. Xun Huang and Serge Belongie. 2017. Arbitrary style transfer in real-time with adaptive instance normalization. In Proceedings of the IEEE International Conference on Computer Vision. 1501–1510.
22. Zeng Huang, Yuanlu Xu, Christoph Lassner, Hao Li, and Tony Tung. 2020. ARCH: Animatable Reconstruction of Clothed Humans. In Proceedings of the CVPR 2020. IEEE, Seattle, Washington.
23. Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A Efros. 2017. Image-to-image translation with conditional adversarial networks. In Proceedings of the IEEE conference on computer vision and pattern recognition. 1125–1134.
24. Ning Jin, Yilin Zhu, Zhenglin Geng, and Ronald Fedkiw. 2018. A pixel-based framework for data-driven clothing. arXiv preprint arXiv:1812.01677 (2018).
25. Moritz Kappel, Vladislav Golyanik, Mohamed Elgharib, Jann-Ole Henningson, Hans-Peter Seidel, Susana Castillo, Christian Theobalt, and Marcus Magnor. 2021. High-Fidelity Neural Human Motion Transfer from Monocular Video. In Computer Vision and Pattern Recognition (CVPR).
26. Ladislav Kavan, Dan Gerszewski, Adam W. Bargteil, and Peter-Pike Sloan. 2011. Physics-Inspired Upsampling for Cloth Simulation in Games. ACM Trans. Graph. 30, 4, Article 93 (July 2011), 10 pages.
27. Tsz-Ho Kwok, Yan-Qiu Zhang, Charlie CL Wang, Yong-Jin Liu, and Kai Tang. 2016. Styling evolution for tight-fitting garments. IEEE transactions on visualization and computer graphics 22, 5 (2016), 1580–1591.
28. Zorah Lahner, Daniel Cremers, and Tony Tung. 2018. Deepwrinkles: Accurate and realistic clothing modeling. In Proceedings of the European Conference on Computer Vision (ECCV). 667–684.
29. Cheng Li, Min Tang, Ruofeng Tong, Ming Cai, Jieyi Zhao, and Dinesh Manocha. 2020b. P-cloth: interactive complex cloth simulation on multi-GPU systems using dynamic matrix assembly and pipelined implicit integrators. ACM Transactions on Graphics (TOG) 39, 6 (2020), 1–15.
30. Minchen Li, Alla Sheffer, Eitan Grinspun, and Nicholas Vining. 2018. FoldSketch: Enriching Garments with Physically Reproducible Folds. ACM Transaction on Graphics 37, 4 (2018).
31. Zhengqi Li, Simon Niklaus, Noah Snavely, and Oliver Wang. 2020a. Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes. arXiv preprint arXiv:2011.13084 (2020).
32. Junbang Liang, Ming Lin, and Vladlen Koltun. 2019. Differentiable Cloth Simulation for Inverse Problems. In Advances in Neural Information Processing Systems. 771–780.
33. Jing Liao, Yuan Yao, Lu Yuan, Gang Hua, and Sing Bing Kang. 2017. Visual attribute transfer through deep image analogy. arXiv preprint arXiv:1705.01088 (2017).
34. Lingjie Liu, Jiatao Gu, Kyaw Zaw Lin, Tat-Seng Chua, and Christian Theobalt. 2020a. Neural Sparse Voxel Fields. NeurIPS (2020).
35. Lingjie Liu, Weipeng Xu, Marc Habermann, Michael Zollhöfer, Florian Bernard, Hyeongwoo Kim, Wenping Wang, and Christian Theobalt. 2020b. Neural Human Video Rendering by Learning Dynamic Textures and Rendering-to-Video Translation. IEEE Transactions on Visualization and Computer Graphics PP (05 2020), 1–1.
36. Lingjie Liu, Weipeng Xu, Michael Zollhoefer, Hyeongwoo Kim, Florian Bernard, Marc Habermann, Wenping Wang, and Christian Theobalt. 2019b. Neural Rendering and Reenactment of Human Actor Videos. ACM TOG (2019).
37. Wen Liu, Zhixin Piao, Jie Min, Wenhan Luo, Lin Ma, and Shenghua Gao. 2019a. Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV).
38. Stephen Lombardi, Tomas Simon, Jason Saragih, Gabriel Schwartz, Andreas Lehrmann, and Yaser Sheikh. 2019. Neural Volumes: Learning Dynamic Renderable Volumes from Images. ACM Trans. Graph. 38, 4, Article 65 (July 2019), 14 pages.
39. Erika Lu, Forrester Cole, Tali Dekel, Weidi Xie, Andrew Zisserman, David Salesin, William T. Freeman, and Michael Rubinstein. 2020. Layered Neural Rendering for Retiming People in Video. ACM Trans. Graph. 39, 6, Article 256 (Nov. 2020), 14 pages.
40. Qianli Ma, Shunsuke Saito, Jinlong Yang, Siyu Tang, and Michael J. Black. 2021. SCALE: Modeling Clothed Humans with a Surface Codec of Articulated Local Elements. In Proceedings IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR).
41. Qianli Ma, Jinlong Yang, Anurag Ranjan, Sergi Pujades, Gerard Pons-Moll, Siyu Tang, and Michael J Black. 2019. Learning to Dress 3D People in Generative Clothing. arXiv preprint arXiv:1907.13615 (2019).
42. Laurens van der Maaten and Geoffrey Hinton. 2008. Visualizing data using t-SNE. Journal of machine learning research 9, Nov (2008), 2579–2605.
43. Arun Mallya, Ting-Chun Wang, Karan Sapra, and Ming-Yu Liu. 2020. World-Consistent Video-to-Video Synthesis. In Proceedings of the European Conference on Computer Vision.
44. Abhimitra Meka, Rohit Pandey, Christian Haene, Sergio Orts-Escolano, Peter Barnum, Philip Davidson, Daniel Erickson, Yinda Zhang, Jonathan Taylor, Sofien Bouaziz, Chloe Legendre, Wan-Chun Ma, Ryan Overbeck, Thabo Beeler, Paul Debevec, Shahram Izadi, Christian Theobalt, Christoph Rhemann, and Sean Fanello. 2020. Deep Relightable Textures – Volumetric Performance Capture with Neural Rendering. ACM Transactions on Graphics (Proceedings SIGGRAPH Asia) 39, 6.
45. Yuwei Meng, Charlie CL Wang, and Xiaogang Jin. 2012. Flexible shape control for automatic resizing of apparel products. CAD 44, 1 (2012), 68–76.
46. Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik, Jonathan T. Barron, Ravi Ramamoorthi, and Ren Ng. 2020. NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis. In ECCV.
47. Matthias Minderer, Chen Sun, Ruben Villegas, Forrester Cole, Kevin P Murphy, and Honglak Lee. 2019. Unsupervised learning of object structure and dynamics from videos. In Advances in Neural Information Processing Systems, H. Wallach, H. Larochelle, A. Beygelzimer, F. d’Alché-Buc, E. Fox, and R. Garnett (Eds.), Vol. 32. Curran Associates, Inc., 92–102. https://proceedings.neurips.cc/paper/2019/file/d82c8d1619ad8176d665453cfb2e55f0-Paper.pdf
48. Matthias Müller and Nuttapong Chentanez. 2010. Wrinkle Meshes. In Proceedings of the 2010 ACM SIGGRAPH/Eurographics Symposium on Computer Animation (Madrid, Spain) (SCA ’10). Eurographics Association, Goslar, DEU, 85–92.
49. Andrew Nealen, Matthias Müller, Richard Keiser, Eddy Boxerman, and Mark Carlson. 2006. Physically Based Deformable Models in Computer Graphics. Computer Graphics Forum 25, 4 (2006), 809–836.
50. Thu Nguyen-Phuoc, Chuan Li, Stephen Balaban, and Yong-Liang Yang. 2018. RenderNet: A deep convolutional network for differentiable rendering from 3D shapes. In Advances in Neural Information Processing Systems 31.
51. Keunhong Park, Utkarsh Sinha, Jonathan T. Barron, Sofien Bouaziz, Dan B Goldman, Steven M. Seitz, and Ricardo Martin-Brualla. 2020. Deformable Neural Radiance Fields. arXiv preprint arXiv:2011.12948 (2020).
52. Taesung Park, Ming-Yu Liu, Ting-Chun Wang, and Jun-Yan Zhu. 2019. Semantic image synthesis with spatially-adaptive normalization. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2337–2346.
53. Chaitanya Patel, Zhouyingcheng Liao, and Gerard Pons-Moll. 2020. TailorNet: Predicting Clothing in 3D as a Function of Human Pose, Shape and Garment Style. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE.
54. Gerard Pons-Moll, Sergi Pujades, Sonny Hu, and Michael J Black. 2017. ClothCap: Seamless 4D clothing capture and retargeting. ACM Transactions on Graphics (TOG) 36, 4 (2017), 1–15.
55. Sergey Prokudin, Michael J. Black, and Javier Romero. 2021. SMPLpix: Neural Avatars from 3D Human Models. In Winter Conference on Applications of Computer Vision (WACV). 1810–1819.
56. Albert Pumarola, Enric Corona, Gerard Pons-Moll, and Francesc Moreno-Noguer. 2020. D-NeRF: Neural Radiance Fields for Dynamic Scenes. arXiv preprint arXiv:2011.13961 (2020).
57. Amit Raj, Julian Tanke, James Hays, Minh Vo, Carsten Stoll, and Christoph Lassner. 2021. ANR-Articulated Neural Rendering for Virtual Avatars. In arXiv:2012.12890.
58. Davis Rempe, Leonidas J. Guibas, Aaron Hertzmann, Bryan Russell, Ruben Villegas, and Jimei Yang. 2020. Contact and Human Dynamics from Monocular Video. In Proceedings of the European Conference on Computer Vision (ECCV).
59. Damien Rohmer, Tiberiu Popa, Marie-Paule Cani, Stefanie Hahmann, and Alla Sheffer. 2010. Animation Wrinkling: Augmenting Coarse Cloth Simulations with Realistic-Looking Wrinkles. ACM Trans. Graph. 29, 6, Article 157 (Dec. 2010), 8 pages.
60. Shunsuke Saito, Jinlong Yang, Qianli Ma, and Michael J. Black. 2021. SCANimate: Weakly Supervised Learning of Skinned Clothed Avatar Networks. In Proceedings IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR).
61. Igor Santesteban, Miguel A Otaduy, and Dan Casas. 2019. Learning-Based Animation of Clothing for Virtual Try-On. In Computer Graphics Forum, Vol. 38. Wiley Online Library, 355–366.
62. Kripasindhu Sarkar, Dushyant Mehta, Weipeng Xu, Vladislav Golyanik, and Christian Theobalt. 2020. Neural Re-Rendering of Humans from a Single Image. In European Conference on Computer Vision (ECCV).
63. Aliaksandra Shysheya, Egor Zakharov, Kara-Ali Aliev, Renat Bashirov, Egor Burkov, Karim Iskakov, Aleksei Ivakhnenko, Yury Malkov, Igor Pasechnik, Dmitry Ulyanov, Alexander Vakhitov, and Victor Lempitsky. 2019. Textured Neural Avatars. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
64. Aliaksandr Siarohin, Stephane Lathuiliere, Sergey Tulyakov, Elisa Ricci, and Nicu Sebe. 2019a. Animating Arbitrary Objects via Deep Motion Transfer. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
65. Aliaksandr Siarohin, Stéphane Lathuilière, Sergey Tulyakov, Elisa Ricci, and Nicu Sebe. 2019b. First Order Motion Model for Image Animation. In Conference on Neural Information Processing Systems (NeurIPS).
66. Vincent Sitzmann, Justus Thies, Felix Heide, Matthias Nießner, Gordon Wetzstein, and Michael Zollhöfer. 2019. DeepVoxels: Learning Persistent 3D Feature Embeddings. In Proc. Computer Vision and Pattern Recognition (CVPR), IEEE.
67. Min Tang, Tongtong Wang, Zhongyuan Liu, Ruofeng Tong, and Dinesh Manocha. 2018. I-cloth: incremental collision handling for GPU-based interactive cloth simulation. ACM Transactions on Graphics (TOG) 37, 6 (2018), 1–10.
68. A. Tewari, O. Fried, J. Thies, V. Sitzmann, S. Lombardi, K. Sunkavalli, R. Martin-Brualla, T. Simon, J. Saragih, M. Nießner, R. Pandey, S. Fanello, G. Wetzstein, J.-Y. Zhu, C. Theobalt, M. Agrawala, E. Shechtman, D. B Goldman,
69. and M. Zollhöfer. 2020. State of the Art on Neural Rendering. Computer Graphics Forum 39, 2 (2020), 701–727. arXiv:https://onlinelibrary.wiley.com/doi/pdf/10.1111/cgf.14022
70. Justus Thies, Michael Zollhöfer, and Matthias Nießner. 2019. Deferred neural rendering: Image synthesis using neural textures. ACM Transactions on Graphics (TOG) 38, 4 (2019), 1–12.
71. Edgar Tretschk, Ayush Tewari, Vladislav Golyanik, Michael Zollhöfer, Christoph Lassner, and Christian Theobalt. 2020. Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Deforming Scene from Monocular Video. (2020). arXiv:2012.12247 [cs.CV]
72. Nobuyuki Umetani, Danny M. Kaufman, Takeo Igarashi, and Eitan Grinspun. 2011. Sensitive Couture for Interactive Garment Modeling and Editing. 30, 4, Article 90 (July 2011), 12 pages.
73. Huamin Wang, Florian Hecht, Ravi Ramamoorthi, and James F. O’Brien. 2010. Example-Based Wrinkle Synthesis for Clothing Animation. ACM Trans. Graph. 29, 4, Article 107 (July 2010), 8 pages.
74. Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Guilin Liu, Andrew Tao, Jan Kautz, and Bryan Catanzaro. 2018b. Video-to-Video Synthesis. In Conference on Neural Information Processing Systems (NeurIPS).
75. Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Guilin Liu, Andrew Tao, Jan Kautz, and Bryan Catanzaro. 2018c. Video-to-video synthesis. arXiv preprint arXiv:1808.06601 (2018).
76. Tuanfeng Y. Wang, Duygu Ceylan, Jovan Popovic, and Niloy J. Mitra. 2018a. Learning a Shared Shape Space for Multimodal Garment Design. ACM Trans. Graph. 37, 6 (2018), 1:1–1:14.
77. Tuanfeng Y Wang, Tianjia Shao, Kai Fu, and Niloy J Mitra. 2019. Learning an intrinsic garment space for interactive authoring of garment animation. ACM Transactions on Graphics (TOG) 38, 6 (2019), 1–12.
78. Ziyan Wang, Timur Bagautdinov, Stephen Lombardi, Tomas Simon, Jason Saragih, Jessica Hodgins, and Michael Zollhöfer. 2020. Learning Compositional Radiance Fields of Dynamic Human Heads. (2020). arXiv:2012.09955 [cs.CV]
79. Nicholas J. Weidner, Kyle Piddington, David I.W. Levin, and Shinjiro Sueda. 2018. Eulerian-on-Lagrangian Cloth Simulation. ACM Transactions on Graphics 37, 4 (August 2018), 50:1–50:11.
80. Longhua Wu, Botao Wu, Yin Yang, and Huamin Wang. 2020. A Safe and Fast Repulsion Method for GPU-based Cloth Self Collisions. ACM Transactions on Graphics (TOG) 40, 1 (2020), 1–18.
81. Weiwei Xu, Nobuyuki Umetani, Qianwen Chao, Jie Mao, Xiaogang Jin, and Xin Tong. 2014. Sensitivity-optimized rigging for example-based real-time clothing synthesis. ACM Trans. Graph. 33, 4 (2014), 107–1.
82. Jinlong Yang, Jean-Sébastien Franco, Franck Hétroy-Wheeler, and Stefanie Wuhrer. 2018. Analyzing clothing layer deformation statistics of 3d human motions. In Proceedings of the European Conference on Computer Vision (ECCV). 237–253.
83. Ze Yang, Shenlong Wang Wang, Sivabalan Manivasagam, Zeng Huang, Wei-Chiu Ma1 Ma, Xinchen Yan, Ersin Yumer Yumer, and Raquel Urtasun Urtasun. 2021. S3 : Neural Shape, Skeleton, and Skinning Fields for 3D Human Modeling. arXiv preprint arXiv:2101.06571 (2021).
84. Tao Yu, Zerong Zheng, Yuan Zhong, Jianhui Zhao, Qionghai Dai, Gerard Pons-Moll, and Yebin Liu. 2019. Simulcap: Single-view human performance capture with cloth simulation. In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 5499–5509.
85. Polina Zablotskaia, Aliaksandr Siarohin, Leonid Sigal, and Bo Zhao. 2019. DwNet: Dense Warp-based Network for Pose-guided Human Video Generation. In BMVC.
86. Meng Zhang, Tuanfeng Wang, Duygu Ceylan, and Niloy J. Mitra. 2021. Deep Detail Enhancement for Any Garment. In Eurographics.
87. Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang. 2018. The unreasonable effectiveness of deep features as a perceptual metric. In Proceedings of the IEEE conference on computer vision and pattern recognition. 586–595.
88. Yipin Zhou, Zhaowen Wang, Chen Fang, Trung Bui, and Tamara Berg. 2019. Dance Dance Generation: Motion Transfer for Internet Videos. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops.
89. Peihao Zhu, Rameen Abdal, Yipeng Qin, and Peter Wonka. 2020. SEAN: Image Synthesis with Semantic Region-Adaptive Normalization. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 5104–5113.
90. Javier S Zurdo, Juan P Brito, and Miguel A Otaduy. 2012. Animating wrinkles by example on non-skinned cloth. IEEE Transactions on Visualization and Computer Graphics 19, 1 (2012), 149–158.
