Cited By
View all- Liao ZWang SKomura T(2024)SENC: Handling Self-collision in Neural Cloth SimulationComputer Vision – ECCV 202410.1007/978-3-031-72673-6_21(385-402)Online publication date: 29-Sep-2024
ClothCombo: Modeling Inter-Cloth Interaction for Draping Multi-Layered Clothes
Authors: 
Dohae Lee, Hyun Kang, In-Kwon LeeAuthors Info & Claims
Dohae Lee, Hyun Kang, In-Kwon LeeAuthors Info & ClaimsArticle No.: 247, Pages 1 - 13
Abstract
We present ClothCombo, a pipeline to drape arbitrary combinations of clothes on 3D human models with varying body shapes and poses. While existing learning-based approaches for draping clothes have shown promising results, multi-layered clothing remains challenging as it is non-trivial to model inter-cloth interaction. To this end, our method utilizes a GNN-based network to efficiently model the interaction between clothes in different layers, thus enabling multi-layered clothing. Specifically, we first create feature embedding for each cloth using a topology-agnostic network. Then, the draping network deforms all clothes to fit the target body shape and pose without considering inter-cloth interaction. Lastly, the untangling network predicts the per-vertex displacements in a way that resolves interpenetration between clothes. In experiments, the proposed model demonstrates strong performance in complex multi-layered scenarios. Being agnostic to cloth topology, our method can be readily used for layered virtual try-on of real clothes in diverse poses and combinations of clothes.
Supplementary Material
supplemental
- Download
- 176.88 MB
References
[1]
Dragomir Anguelov, Praveen Srinivasan, Daphne Koller, Sebastian Thrun, Jim Rodgers, and James Davis. 2005. SCAPE: Shape Completion and Animation of People. ACM Trans. Graph. 24, 3 (jul 2005), 408--416.
[2]
David Baraff and Andrew Witkin. 1998. Large steps in cloth simulation. In Proceedings of the 25th annual conference on Computer graphics and interactive techniques. 43--54.
[3]
Hugo Bertiche, Meysam Madadi, and Sergio Escalera. 2020a. CLOTH3D: clothed 3d humans. In European Conference on Computer Vision. Springer, 344--359.
[4]
Hugo Bertiche, Meysam Madadi, and Sergio Escalera. 2020b. CLOTH3D: Clothed 3D Humans. In European Conference on Computer Vision. Springer, 344--359.
[5]
Hugo Bertiche, Meysam Madadi, and Sergio Escalera. 2020c. PBNS: Physically Based Neural Simulator for Unsupervised Garment Pose Space Deformation. arXiv preprint arXiv:2012.11310 (2020).
[6]
Hugo Bertiche, Meysam Madadi, and Sergio Escalera. 2022. Neural Cloth Simulation. ACM Transactions on Graphics (TOG) 41, 6 (2022), 1--14.
[7]
Hugo Bertiche, Meysam Madadi, Emilio Tylson, and Sergio Escalera. 2021. DeePSD: Automatic deep skinning and pose space deformation for 3D garment animation. In Proceedings of the IEEE/CVF International Conference on Computer Vision. 5471--5480.
[8]
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/CVF international conference on computer vision. 5420--5430.
[9]
Sofien Bouaziz, Sebastian Martin, Tiantian Liu, Ladislav Kavan, and Mark Pauly. 2014. Projective dynamics: Fusing constraint projections for fast simulation. ACM transactions on graphics (TOG) 33, 4 (2014), 1--11.
[10]
Thomas Buffet, Damien Rohmer, Loïc Barthe, Laurence Boissieux, and Marie-Paule Cani. 2019. Implicit Untangling: A Robust Solution for Modeling Layered Clothing. ACM Transactions on Graphics 38 (07 2019).
[11]
Xin Chen, Anqi Pang, Yang Wei, Lan Xui, and Jingyi Yu. 2019. TightCap: 3D human shape capture with clothing tightness. arXiv preprint arXiv:1904.02601 (2019).
[12]
Kwang-Jin Choi and Hyeong-Seok Ko. 2005. Research problems in clothing simulation. Computer-aided design 37, 6 (2005), 585--592.
[13]
Gabriel Cirio, Jorge Lopez-Moreno, David Miraut, and Miguel A Otaduy. 2014. Yarn-level simulation of woven cloth. ACM Transactions on Graphics (TOG) 33, 6 (2014), 1--11.
[14]
Enric Corona, Albert Pumarola, Guillem Alenya, Gerard Pons-Moll, and Francesc Moreno-Noguer. 2021. Smplicit: Topology-aware generative model for clothed people. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 11875--11885.
[15]
Miles Cranmer, Alvaro Sanchez-Gonzalez, Peter Battaglia, Rui Xu, Kyle Cranmer, David Spergel, and Shirley Ho. 2020. Discovering Symbolic Models from Deep Learning with Inductive Biases. arXiv preprint arXiv:2006.11287 (2020).
[16]
Edilson De Aguiar, Leonid Sigal, Adrien Treuille, and Jessica K Hodgins. 2010. Stable spaces for real-time clothing. ACM Transactions on Graphics (TOG) 29, 4 (2010), 1--9.
[17]
Luca De Luigi, Ren Li, Benoît Guillard, Mathieu Salzmann, and Pascal Fua. 2022. DrapeNet: Generating Garments and Draping them with Self-Supervision. arXiv preprint arXiv:2211.11277 (2022).
[18]
Basil Fierz, Jonas Spillmann, and Matthias Harders. 2011. Element-wise mixed implicit-explicit integration for stable dynamic simulation of deformable objects. In Proceedings of the 2011 ACM SIGGRAPH/eurographics symposium on computer animation. 257--266.
[19]
Russell Gillette, Craig Peters, Nicholas Vining, Essex Edwards, and Alla Sheffer. 2015. Real-time dynamic wrinkling of coarse animated cloth. In Proceedings of the 14th ACM SIGGRAPH/eurographics symposium on computer animation. 17--26.
[20]
Artur Grigorev, Bernhard Thomaszewski, Michael J Black, and Otmar Hilliges. 2022. HOOD: Hierarchical Graphs for Generalized Modelling of Clothing Dynamics. arXiv preprint arXiv:2212.07242 (2022).
[21]
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.
[22]
Erhan Gundogdu, Victor Constantin, Shaifali Parashar, Amrollah Seifoddini, Minh Dang, Mathieu Salzmann, and Pascal Fua. 2020. Garnet++: Improving fast and accurate static 3d cloth draping by curvature loss. IEEE Transactions on Pattern Analysis and Machine Intelligence 44, 1 (2020), 181--195.
[23]
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/CVF International Conference on Computer Vision. 8739--8748.
[24]
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.
[25]
Oshri Halimi, Egor Larionov, Zohar Barzelay, Philipp Herholz, and Tuur Stuyck. 2023. PhysGraph: Physics-Based Integration Using Graph Neural Networks. arXiv preprint arXiv:2301.11841 (2023).
[26]
Rana Hanocka, Amir Hertz, Noa Fish, Raja Giryes, Shachar Fleishman, and Daniel Cohen-Or. 2019. MeshCNN: A Network with an Edge. ACM Transactions on Graphics (TOG) 38, 4 (2019), 90:1--90:12.
[27]
David Harmon, Etienne Vouga, Breannan Smith, Rasmus Tamstorf, and Eitan Grinspun. 2009. Asynchronous contact mechanics. In ACM SIGGRAPH 2009 papers. 1--12.
[28]
Michael Hauth, Olaf Etzmuß, and Wolfgang Straßer. 2003. Analysis of numerical methods for the simulation of deformable models. The Visual Computer 19, 7 (2003), 581--600.
[29]
Dan Hendrycks and Kevin Gimpel. 2016. Gaussian error linear units (gelus). arXiv preprint arXiv:1606.08415 (2016).
[30]
Miguel Jaques, Michael Burke, and Timothy Hospedales. 2019. Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from Video. In Int. Conf. Learning Representations.
[31]
Boyi Jiang, Juyong Zhang, Yang Hong, Jinhao Luo, Ligang Liu, and Hujun Bao. 2020. Bcnet: Learning body and cloth shape from a single image. In European Conference on Computer Vision. Springer, 18--35.
[32]
Chenfanfu Jiang, Theodore Gast, and Joseph Teran. 2017. Anisotropic elastoplasticity for cloth, knit and hair frictional contact. ACM Transactions on Graphics (TOG) 36, 4 (2017), 1--14.
[33]
Jonathan M Kaldor, Doug L James, and Steve Marschner. 2008. Simulating knitted cloth at the yarn level. In ACM SIGGRAPH 2008 papers. 1--9.
[34]
Doyub Kim, Woojong Koh, Rahul Narain, Kayvon Fatahalian, Adrien Treuille, and James F O'Brien. 2013. Near-exhaustive precomputation of secondary cloth effects. ACM Transactions on Graphics (TOG) 32, 4 (2013), 1--8.
[35]
Maria Korosteleva and Sung-Hee Lee. 2021. Generating Datasets of 3D Garments with Sewing Patterns. arXiv preprint arXiv:2109.05633 (2021).
[36]
Maria Korosteleva and Sung-Hee Lee. 2022. NeuralTailor: Reconstructing Sewing Pattern Structures from 3D Point Clouds of Garments. arXiv preprint arXiv:2201.13063 (2022).
[37]
Alon Lahav and Ayellet Tal. 2020. Meshwalker: Deep mesh understanding by random walks. ACM Transactions on Graphics (TOG) 39, 6 (2020), 1--13.
[38]
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.
[39]
Ren Li, Benoît Guillard, Edoardo Remelli, and Pascal Fua. 2022. DIG: Draping Implicit Garment over the Human Body. In Proceedings of the Asian Conference on Computer Vision. 2780--2795.
[40]
Tianye Li, Timo Bolkart, Michael. J. Black, Hao Li, and Javier Romero. 2017. Learning a model of facial shape and expression from 4D scans. ACM Transactions on Graphics, (Proc. SIGGRAPH Asia) 36, 6 (2017).
[41]
Yangyan Li, Rui Bu, Mingchao Sun, Wei Wu, Xinhan Di, and Baoquan Chen. 2018. Pointcnn: Convolution on x-transformed points. Advances in neural information processing systems 31 (2018).
[42]
Tiantian Liu, Adam W Bargteil, James F O'Brien, and Ladislav Kavan. 2013. Fast simulation of mass-spring systems. ACM Transactions on Graphics (TOG) 32, 6 (2013), 1--7.
[43]
Matthew Loper, Naureen Mahmood, Javier Romero, Gerard Pons-Moll, and Michael J. Black. 2015. SMPL: A Skinned Multi-Person Linear Model. ACM Trans. Graphics (Proc. SIGGRAPH Asia) 34, 6 (Oct. 2015), 248:1--248:16.
[44]
Guanghui Ma, Juntao Ye, Jituo Li, and Xiaopeng Zhang. 2016. Anisotropic strain limiting for quadrilateral and triangular cloth meshes. In Computer graphics forum, Vol. 35. Wiley Online Library, 89--99.
[45]
Qianli Ma, Jinlong Yang, Anurag Ranjan, Sergi Pujades, Gerard Pons-Moll, Siyu Tang, and Michael J Black. 2020. Learning to dress 3d people in generative clothing. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 6469--6478.
[46]
Meysam Madadi, Hugo Bertiche, Wafa Bouzouita, Isabelle Guyon, and Sergio Escalera. 2021a. Learning Cloth Dynamics: 3D + Texture Garment Reconstruction Benchmark. In Proceedings of the NeurIPS 2020 Competition and Demonstration Track, PMLR, Vol. 133. 57--76.
[47]
Meysam Madadi, Hugo Bertiche, Wafa Bouzouita, Isabelle Guyon, and Sergio Escalera. 2021b. Learning cloth dynamics: 3d+ texture garment reconstruction benchmark. In NeurIPS 2020 Competition and Demonstration Track. PMLR, 57--76.
[48]
Naureen Mahmood, Nima Ghorbani, Nikolaus F. Troje, Gerard Pons-Moll, and Michael J. Black. 2019. AMASS: Archive of Motion Capture as Surface Shapes. In International Conference on Computer Vision. 5442--5451.
[49]
Ishit Mehta, Michaël Gharbi, Connelly Barnes, Eli Shechtman, Ravi Ramamoorthi, and Manmohan Chandraker. 2021. Modulated Periodic Activations for Generalizable Local Functional Representations. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV). 14214--14223.
[50]
Thomas W. Mitchel, Vladimir G. Kim, and Michael Kazhdan. 2021. Field Convolutions for Surface CNNs. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV). 10001--10011.
[51]
Matthias Müller. 2008. Hierarchical position based dynamics. (2008).
[52]
Matthias Müller and Nuttapong Chentanez. 2010. Wrinkle Meshes. In Symposium on Computer Animation. Madrid, Spain, 85--91.
[53]
Matthias Müller, Bruno Heidelberger, Marcus Hennix, and John Ratcliff. 2007. Position based dynamics. Journal of Visual Communication and Image Representation 18, 2 (2007), 109--118.
[54]
Rahul Narain, Armin Samii, and James F O'brien. 2012. Adaptive anisotropic remeshing for cloth simulation. ACM transactions on graphics (TOG) 31, 6 (2012), 1--10.
[55]
Andrew Nealen, Matthias Müller, Richard Keiser, Eddy Boxerman, and Mark Carlson. 2006. Physically based deformable models in computer graphics. In Computer graphics forum, Vol. 25. Wiley Online Library, 809--836.
[56]
Young Jin Oh and In-Kwon Lee. 2021. Two-step Temporal Interpolation Network Using Forward Advection for Efficient Smoke Simulation. In Computer Graphics Forum, Vol. 40. Wiley Online Library, 355--365.
[57]
Young Jin Oh, Tae Min Lee, and In-Kwon Lee. 2018. Hierarchical cloth simulation using deep neural networks. In Proceedings of Computer Graphics International 2018. 139--146.
[58]
Xiaoyu Pan, Jiaming Mai, Xinwei Jiang, Dongxue Tang, Jingxiang Li, Tianjia Shao, Kun Zhou, Xiaogang Jin, and Dinesh Manocha. 2022. Predicting loose-fitting garment deformations using bone-driven motion networks. In ACM SIGGRAPH 2022 Conference Proceedings. 1--10.
[59]
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 Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 7365--7375.
[60]
Georgios Pavlakos, Vasileios Choutas, Nima Ghorbani, Timo Bolkart, Ahmed A. A. Osman, Dimitrios Tzionas, and Michael J. Black. 2019. Expressive Body Capture: 3D Hands, Face, and Body from a Single Image. In Proceedings IEEE Conf. on Computer Vision and Pattern Recognition (CVPR). 10975--10985.
[61]
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.
[62]
Charles R Qi, Hao Su, Kaichun Mo, and Leonidas J Guibas. 2017a. Pointnet: Deep learning on point sets for 3d classification and segmentation. In Proceedings of the IEEE conference on computer vision and pattern recognition. 652--660.
[63]
Charles Ruizhongtai Qi, Li Yi, Hao Su, and Leonidas J Guibas. 2017b. Pointnet++: Deep hierarchical feature learning on point sets in a metric space. Advances in neural information processing systems 30 (2017).
[64]
Damien Rohmer, Tiberiu Popa, Marie-Paule Cani, Stefanie Hahmann, and Alla Sheffer. 2010. Animation wrinkling: augmenting coarse cloth simulations with realistic-looking wrinkles. ACM Transactions on Graphics (TOG) 29, 6 (2010), 1--8.
[65]
Javier Romero, Dimitrios Tzionas, and Michael J. Black. 2017. Embodied Hands: Modeling and Capturing Hands and Bodies Together. ACM Transactions on Graphics, (Proc. SIGGRAPH Asia) 36, 6 (Nov. 2017).
[66]
Shunsuke Saito, Jinlong Yang, Qianli Ma, and Michael J Black. 2021. SCANimate: Weakly supervised learning of skinned clothed avatar networks. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2886--2897.
[67]
Alvaro Sanchez-Gonzalez, Jonathan Godwin, Tobias Pfaff, Rex Ying, Jure Leskovec, and Peter Battaglia. 2020. Learning to simulate complex physics with graph networks. In International Conference on Machine Learning. PMLR, 8459--8468.
[68]
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.
[69]
Igor Santesteban, Miguel A Otaduy, and Dan Casas. 2022a. SNUG: Self-Supervised Neural Dynamic Garments. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022).
[70]
Igor Santesteban, Miguel A. Otaduy, Nils Thuerey, and Dan Casas. 2022b. ULNeF: Untangled Layered Neural Fields for Mix-and-Match Virtual Try-On. In Advances in Neural Information Processing Systems, (NeurIPS).
[71]
Igor Santesteban, Nils Thuerey, Miguel A Otaduy, and Dan Casas. 2021. Self-supervised collision handling via generative 3d garment models for virtual try-on. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 11763--11773.
[72]
Andrew Selle, Jonathan Su, Geoffrey Irving, and Ronald Fedkiw. 2008. Robust high-resolution cloth using parallelism, history-based collisions, and accurate friction. IEEE transactions on visualization and computer graphics 15, 2 (2008), 339--350.
[73]
Nicholas Sharp, Souhaib Attaiki, Keenan Crane, and Maks Ovsjanikov. 2022. Diffusion-net: Discretization agnostic learning on surfaces. ACM Transactions on Graphics (TOG) 41, 3 (2022), 1--16.
[74]
Dmitriy Smirnov and Justin Solomon. 2021. HodgeNet: Learning Spectral Geometry on Triangle Meshes. SIGGRAPH (2021).
[75]
Georg Sperl, Rosa M Sánchez-Banderas, Manwen Li, Chris Wojtan, and Miguel A Otaduy. 2022. Estimation of yarn-level simulation models for production fabrics. ACM Transactions on Graphics (TOG) 41, 4 (2022), 1--15.
[76]
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.
[77]
Demetri Terzopoulos, John Platt, Alan Barr, and Kurt Fleischer. 1987. Elastically deformable models. In Proceedings of the 14th annual conference on Computer graphics and interactive techniques. 205--214.
[78]
Hugues Thomas, Charles R. Qi, Jean-Emmanuel Deschaud, Beatriz Marcotegui, François Goulette, and Leonidas J. Guibas. 2019. KPConv: Flexible and Deformable Convolution for Point Clouds. Proceedings of the IEEE International Conference on Computer Vision (2019).
[79]
Bernhard Thomaszewski, Simon Pabst, and Wolfgang Strasser. 2009. Continuum-based strain limiting. In Computer Graphics Forum, Vol. 28. Wiley Online Library, 569--576.
[80]
Garvita Tiwari, Bharat Lal Bhatnagar, Tony Tung, and Gerard Pons-Moll. 2020. Sizer: A dataset and model for parsing 3d clothing and learning size sensitive 3d clothing. In European Conference on Computer Vision. Springer, 1--18.
[81]
Garvita Tiwari, Nikolaos Sarafianos, Tony Tung, and Gerard Pons-Moll. 2021. Neural-GIF: Neural generalized implicit functions for animating people in clothing. In Proceedings of the IEEE/CVF International Conference on Computer Vision. 11708--11718.
[82]
Huamin Wang, Florian Hecht, Ravi Ramamoorthi, and James F O'Brien. 2010a. Example-based wrinkle synthesis for clothing animation. In ACM SIGGRAPH 2010 papers. 1--8.
[83]
Huamin Wang, James O'Brien, and Ravi Ramamoorthi. 2010b. Multi-resolution isotropic strain limiting. ACM Transactions on Graphics (TOG) 29, 6 (2010), 1--10.
[84]
Huamin Wang and Yin Yang. 2016. Descent methods for elastic body simulation on the GPU. ACM Transactions on Graphics (TOG) 35, 6 (2016), 1--10.
[85]
Tuanfeng Y Wang, Duygu Ceylan, Jovan Popovic, and Niloy J Mitra. 2018. Learning a shared shape space for multimodal garment design. arXiv preprint arXiv:1806.11335 (2018).
[86]
Tuanfeng Y Wang, Tianjia Shao, Kai Fu, and Niloy J Mitra. 2019a. Learning an intrinsic garment space for interactive authoring of garment animation. ACM Transactions on Graphics (TOG) 38, 6 (2019), 1--12.
[87]
Yue Wang, Yongbin Sun, Ziwei Liu, Sanjay E. Sarma, Michael M. Bronstein, and Justin M. Solomon. 2019b. Dynamic Graph CNN for Learning on Point Clouds. ACM Transactions on Graphics (TOG) (2019).
[88]
Nannan Wu, Qianwen Chao, Yanzhen Chen, Weiwei Xu, Chen Liu, Dinesh Manocha, Wenxin Sun, Yi Han, Xinran Yao, and Xiaogang Jin. 2021. AgentDress: Realtime Clothing Synthesis for Virtual Agents using Plausible Deformations. IEEE Transactions on Visualization and Computer Graphics 27, 11 (2021), 4107--4118.
[89]
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.
[90]
Yi Xu, Shanglin Yang, Wei Sun, Li Tan, Kefeng Li, and Hui Zhou. 2019. 3d virtual garment modeling from rgb images. In 2019 IEEE International Symposium on Mixed and Augmented Reality (ISMAR). IEEE, 37--45.
[91]
Meng Zhang, Duygu Ceylan, and Niloy J Mitra. 2022. Motion guided deep dynamic 3d garments. ACM Transactions on Graphics (TOG) 41, 6 (2022), 1--12.
[92]
Meng Zhang, Tuanfeng Wang, Duygu Ceylan, and Niloy J Mitra. 2021. Deep detail enhancement for any garment. In Computer Graphics Forum, Vol. 40. Wiley Online Library, 399--411.
Index Terms
- ClothCombo: Modeling Inter-Cloth Interaction for Draping Multi-Layered Clothes
Recommendations
Faking dynamics of cloth animation for animated films
AMDO'10: Proceedings of the 6th international conference on Articulated motion and deformable objectsIn this paper we argue for the concept of fake dynamics to allow animators to interactively create visually pleasing animations of cloth models while keeping him/her in full control of the animation process. Existing animation and simulation techniques ...
Faking Dynamics of Cloth Animation for Animated Films
6th International Conference on Articulated Motion and Deformable Objects - Volume 6169In this paper we argue for the concept of fake dynamics to allow animators to interactively create visually pleasing animations of cloth models while keeping him/her in full control of the animation process. Existing animation and simulation techniques ...
3D garment positioning using Hermite radial basis functions
AbstractFitting an elegant 3D garment model onto a target 3D human model is crucial for garment design industry and virtual try-on systems. The alignment of the garment onto virtual try-on systems is currently the main limitation to propose an efficient ...
Comments
Information & Contributors
Information
Published In
Copyright © 2023 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 05 December 2023
Published in TOG Volume 42, Issue 6
Check for updates
Author Tags
Qualifiers
- Research-article
Funding Sources
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- View Citations1Total Citations
- 347Total Downloads
- Downloads (Last 12 months)347
- Downloads (Last 6 weeks)27
Reflects downloads up to 10 Nov 2024
Other Metrics
Citations
Cited By
View all- Liao ZWang SKomura T(2024)SENC: Handling Self-collision in Neural Cloth SimulationComputer Vision – ECCV 202410.1007/978-3-031-72673-6_21(385-402)Online publication date: 29-Sep-2024
View Options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in