Fetching the paper…
Reading the bibliography…
We present ClothCombo, a pipeline to drape arbitrary combinations of clothes on 3D human models with varying body shapes and poses.
Elastically deformable models. In Proceedings of the 14th annual conference on Computer graphics and interactive techniques . 205–214
Demetri Terzopoulos, John Platt, Alan Barr, and Kurt Fleischer. 1987 · 1987
Earlier work this paper cites.
Large steps in cloth simulation. In Proceedings of the 25th annual conference on Computer graphics and interactive techniques . 43–54
David Baraff and Andrew Witkin. 1998 · 1998
Earlier work this paper cites.
Analysis of numerical methods for the simulation of deformable models
Michael Hauth, Olaf Etzmuß, and Wolfgang Straßer. 2003 · 2003
Earlier work this paper cites.
SCAPE: Shape Completion and Animation of People
Dragomir Anguelov, Praveen Srinivasan, Daphne Koller, Sebastian Thrun, Jim Rodgers, and James Davis. 2005 · 2005
Earlier work this paper cites.
Research problems in clothing simulation
Kwang-Jin Choi and Hyeong-Seok Ko. 2005 · 2005
Earlier work this paper cites.
Physically based deformable models in computer graphics. In Computer graphics forum , Vol. 25. Wiley Online Library, 809–836
Andrew Nealen, Matthias Müller, Richard Keiser, Eddy Boxerman, and Mark Carlson. 2006 · 2006
Earlier work this paper cites.
Position based dynamics
Matthias Müller, Bruno Heidelberger, Marcus Hennix, and John Ratcliff. 2007 · 2007
Earlier work this paper cites.
Simulating knitted cloth at the yarn level
Jonathan M Kaldor, Doug L James, and Steve Marschner. 2008 · 2008
Earlier work this paper cites.
Hierarchical position based dynamics
Matthias Müller. 2008 · 2008
Earlier work this paper cites.
Robust high-resolution cloth using parallelism, history-based collisions, and accurate friction
Andrew Selle, Jonathan Su, Geoffrey Irving, and Ronald Fedkiw. 2008 · 2008
Earlier work this paper cites.
Asynchronous contact mechanics
David Harmon, Etienne Vouga, Breannan Smith, Rasmus Tamstorf, and Eitan Grinspun. 2009 · 2009
Earlier work this paper cites.
Continuum-based strain limiting. In Computer Graphics Forum , Vol. 28. Wiley Online Library, 569–576
Bernhard Thomaszewski, Simon Pabst, and Wolfgang Strasser. 2009 · 2009
Earlier work this paper cites.
Stable spaces for real-time clothing
Edilson De Aguiar, Leonid Sigal, Adrien Treuille, and Jessica K Hodgins. 2010 · 2010
Earlier work this paper cites.
Wrinkle Meshes.. In Symposium on Computer Animation . Madrid, Spain, 85–91
Matthias Müller and Nuttapong Chentanez. 2010 · 2010
Earlier work this paper cites.
Animation wrinkling: augmenting coarse cloth simulations with realistic-looking wrinkles
Damien Rohmer, Tiberiu Popa, Marie-Paule Cani, Stefanie Hahmann, and Alla Sheffer. 2010 · 2010
Earlier work this paper cites.
Example-based wrinkle synthesis for clothing animation
Huamin Wang, Florian Hecht, Ravi Ramamoorthi, and James F O’Brien. 2010a · 2010
Earlier work this paper cites.
Multi-resolution isotropic strain limiting
Huamin Wang, James O’Brien, and Ravi Ramamoorthi. 2010b · 2010
Earlier work this paper cites.
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
Basil Fierz, Jonas Spillmann, and Matthias Harders. 2011 · 2011
Earlier work this paper cites.
Drape: Dressing any person
Peng Guan, Loretta Reiss, David A Hirshberg, Alexander Weiss, and Michael J Black. 2012 · 2012
Earlier work this paper cites.
Adaptive anisotropic remeshing for cloth simulation
Rahul Narain, Armin Samii, and James F O’brien. 2012 · 2012
Earlier work this paper cites.
Near-exhaustive precomputation of secondary cloth effects
Doyub Kim, Woojong Koh, Rahul Narain, Kayvon Fatahalian, Adrien Treuille, and James F O’Brien. 2013 · 2013
Earlier work this paper cites.
Fast simulation of mass-spring systems
Tiantian Liu, Adam W Bargteil, James F O’Brien, and Ladislav Kavan. 2013 · 2013
Earlier work this paper cites.
Projective dynamics: Fusing constraint projections for fast simulation
Sofien Bouaziz, Sebastian Martin, Tiantian Liu, Ladislav Kavan, and Mark Pauly. 2014 · 2014
Earlier work this paper cites.
Yarn-level simulation of woven cloth
Gabriel Cirio, Jorge Lopez-Moreno, David Miraut, and Miguel A Otaduy. 2014 · 2014
Earlier work this paper cites.
Subspace clothing simulation using adaptive bases
Fabian Hahn, Bernhard Thomaszewski, Stelian Coros, Robert W Sumner, Forrester Cole, Mark Meyer, Tony DeRose, and Markus Gross. 2014 · 2014
Earlier work this paper cites.
Sensitivity-optimized rigging for example-based real-time clothing synthesis
Weiwei Xu, Nobuyuki Umetani, Qianwen Chao, Jie Mao, Xiaogang Jin, and Xin Tong. 2014 · 2014
Earlier work this paper cites.
Real-time dynamic wrinkling of coarse animated cloth. In Proceedings of the 14th ACM SIGGRAPH/eurographics symposium on computer animation . 17–26
Russell Gillette, Craig Peters, Nicholas Vining, Essex Edwards, and Alla Sheffer. 2015 · 2015
Earlier work this paper cites.
SMPL: A Skinned Multi-Person Linear Model
Matthew Loper, Naureen Mahmood, Javier Romero, Gerard Pons-Moll, and Michael J. Black. 2015 · 2015
Earlier work this paper cites.
Gaussian error linear units (gelus)
Dan Hendrycks and Kevin Gimpel. 2016 · 2016
Earlier work this paper cites.
Anisotropic strain limiting for quadrilateral and triangular cloth meshes. In Computer graphics forum , Vol. 35. Wiley Online Library, 89–99
Guanghui Ma, Juntao Ye, Jituo Li, and Xiaopeng Zhang. 2016 · 2016
Earlier work this paper cites.
Descent methods for elastic body simulation on the GPU
Huamin Wang and Yin Yang. 2016 · 2016
Cited alongside, same era.
Anisotropic elastoplasticity for cloth, knit and hair frictional contact
Chenfanfu Jiang, Theodore Gast, and Joseph Teran. 2017 · 2017
Cited alongside, same era.
Learning a model of facial shape and expression from 4D scans
Tianye Li, Timo Bolkart, Michael. J. Black, Hao Li, and Javier Romero. 2017 · 2017
Cited alongside, same era.
ClothCap: Seamless 4D clothing capture and retargeting
Gerard Pons-Moll, Sergi Pujades, Sonny Hu, and Michael J Black. 2017 · 2017
Cited alongside, same era.
Pointnet++: Deep hierarchical feature learning on point sets in a metric space
Charles Ruizhongtai Qi, Li Yi, Hao Su, and Leonidas J Guibas. 2017b · 2017
Cited alongside, same era.
Embodied Hands: Modeling and Capturing Hands and Bodies Together
Javier Romero, Dimitrios Tzionas, and Michael J. Black. 2017 · 2017
Learning to dress 3d people in generative clothing. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 6469–6478
Qianli Ma, Jinlong Yang, Anurag Ranjan, Sergi Pujades, Gerard Pons-Moll, Siyu Tang, and Michael J Black. 2020 · 2020
Later among the works it cites.
Learning Cloth Dynamics: 3D + Texture Garment Reconstruction Benchmark. In Proceedings of the NeurIPS 2020 Competition and Demonstration Track, PMLR , Vol. 133. 57–76
Meysam Madadi, Hugo Bertiche, Wafa Bouzouita, Isabelle Guyon, and Sergio Escalera. 2021a · 2020
Later among the works it cites.
Learning cloth dynamics: 3d+ texture garment reconstruction benchmark. In NeurIPS 2020 Competition and Demonstration Track . PMLR, 57–76
Meysam Madadi, Hugo Bertiche, Wafa Bouzouita, Isabelle Guyon, and Sergio Escalera. 2021b · 2020
Later among the works it cites.
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
Chaitanya Patel, Zhouyingcheng Liao, and Gerard Pons-Moll. 2020 · 2020
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Deepwrinkles: Accurate and realistic clothing modeling. In Proceedings of the European conference on computer vision (ECCV) . 667–684
Zorah Lahner, Daniel Cremers, and Tony Tung. 2018 · 2018
Cited alongside, same era.
Pointcnn: Convolution on x-transformed points
Yangyan Li, Rui Bu, Mingchao Sun, Wei Wu, Xinhan Di, and Baoquan Chen. 2018 · 2018
Cited alongside, same era.
Hierarchical cloth simulation using deep neural networks
Young Jin Oh, Tae Min Lee, and In-Kwon Lee. 2018 · 2018
Cited alongside, same era.
I-Cloth: Incremental collision handling for GPU-based interactive cloth simulation
Min Tang, Tongtong Wang, Zhongyuan Liu, Ruofeng Tong, and Dinesh Manocha. 2018 · 2018
Cited alongside, same era.
Learning a shared shape space for multimodal garment design
Tuanfeng Y Wang, Duygu Ceylan, Jovan Popovic, and Niloy J Mitra. 2018 · 2018
Cited alongside, same era.
Multi-garment net: Learning to dress 3d people from images. In proceedings of the IEEE/CVF international conference on computer vision . 5420–5430
Bharat Lal Bhatnagar, Garvita Tiwari, Christian Theobalt, and Gerard Pons-Moll. 2019 · 2019
Cited alongside, same era.
Learning to simulate complex physics with graph networks. In International Conference on Machine Learning . PMLR, 8459–8468
Alvaro Sanchez-Gonzalez, Jonathan Godwin, Tobias Pfaff, Rex Ying, Jure Leskovec, and Peter Battaglia. 2020 · 2020
Later among the works it cites.
Sizer: A dataset and model for parsing 3d clothing and learning size sensitive 3d clothing. In European Conference on Computer Vision . Springer, 1–18
Garvita Tiwari, Bharat Lal Bhatnagar, Tony Tung, and Gerard Pons-Moll. 2020 · 2020
Later among the works it cites.
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
Hugo Bertiche, Meysam Madadi, Emilio Tylson, and Sergio Escalera. 2021 · 2021
Later among the works it cites.
Smplicit: Topology-aware generative model for clothed people. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 11875–11885
Enric Corona, Albert Pumarola, Guillem Alenya, Gerard Pons-Moll, and Francesc Moreno-Noguer. 2021 · 2021
Later among the works it cites.
Generating Datasets of 3D Garments with Sewing Patterns
Maria Korosteleva and Sung-Hee Lee. 2021 · 2021
Later among the works it cites.
Modulated Periodic Activations for Generalizable Local Functional Representations. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) . 14214–14223
Ishit Mehta, Michaël Gharbi, Connelly Barnes, Eli Shechtman, Ravi Ramamoorthi, and Manmohan Chandraker. 2021 · 2021
Later among the works it cites.
Field Convolutions for Surface CNNs. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) . 10001–10011
Thomas W. Mitchel, Vladimir G. Kim, and Michael Kazhdan. 2021 · 2021
Later among the works it cites.
Two-step Temporal Interpolation Network Using Forward Advection for Efficient Smoke Simulation. In Computer Graphics Forum , Vol. 40. Wiley Online Library, 355–365
Young Jin Oh and In-Kwon Lee. 2021 · 2021
Later among the works it cites.
SCANimate: Weakly supervised learning of skinned clothed avatar networks. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 2886–2897
Shunsuke Saito, Jinlong Yang, Qianli Ma, and Michael J Black. 2021 · 2021
Later among the works it cites.
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
Igor Santesteban, Nils Thuerey, Miguel A Otaduy, and Dan Casas. 2021 · 2021
Later among the works it cites.
HodgeNet: Learning Spectral Geometry on Triangle Meshes
Dmitriy Smirnov and Justin Solomon. 2021 · 2021
Later among the works it cites.
Neural-GIF: Neural generalized implicit functions for animating people in clothing. In Proceedings of the IEEE/CVF International Conference on Computer Vision . 11708–11718
Garvita Tiwari, Nikolaos Sarafianos, Tony Tung, and Gerard Pons-Moll. 2021 · 2021
Later among the works it cites.
AgentDress: Realtime Clothing Synthesis for Virtual Agents using Plausible Deformations
Nannan Wu, Qianwen Chao, Yanzhen Chen, Weiwei Xu, Chen Liu, Dinesh Manocha, Wenxin Sun, Yi Han, Xinran Yao, and Xiaogang Jin. 2021 · 2021
Later among the works it cites.
Deep detail enhancement for any garment. In Computer Graphics Forum , Vol. 40. Wiley Online Library, 399–411
Meng Zhang, Tuanfeng Wang, Duygu Ceylan, and Niloy J Mitra. 2021 · 2021
Later among the works it cites.
Neural Cloth Simulation
Hugo Bertiche, Meysam Madadi, and Sergio Escalera. 2022 · 2022
Later among the works it cites.
DrapeNet: Generating Garments and Draping them with Self-Supervision
Luca De Luigi, Ren Li, Benoît Guillard, Mathieu Salzmann, and Pascal Fua. 2022 · 2022
Later among the works it cites.
HOOD: Hierarchical Graphs for Generalized Modelling of Clothing Dynamics
Artur Grigorev, Bernhard Thomaszewski, Michael J Black, and Otmar Hilliges. 2022 · 2022
Later among the works it cites.
NeuralTailor: Reconstructing Sewing Pattern Structures from 3D Point Clouds of Garments
Maria Korosteleva and Sung-Hee Lee. 2022 · 2022
Later among the works it cites.
DIG: Draping Implicit Garment over the Human Body. In Proceedings of the Asian Conference on Computer Vision . 2780–2795
Ren Li, Benoît Guillard, Edoardo Remelli, and Pascal Fua. 2022 · 2022
Later among the works it cites.
Predicting loose-fitting garment deformations using bone-driven motion networks. In ACM SIGGRAPH 2022 Conference Proceedings . 1–10
Xiaoyu Pan, Jiaming Mai, Xinwei Jiang, Dongxue Tang, Jingxiang Li, Tianjia Shao, Kun Zhou, Xiaogang Jin, and Dinesh Manocha. 2022 · 2022
Later among the works it cites.
SNUG: Self-Supervised Neural Dynamic Garments
Igor Santesteban, Miguel A Otaduy, and Dan Casas. 2022a · 2022
Later among the works it cites.
Diffusionnet: Discretization agnostic learning on surfaces
Nicholas Sharp, Souhaib Attaiki, Keenan Crane, and Maks Ovsjanikov. 2022 · 2022
Later among the works it cites.
Estimation of yarn-level simulation models for production fabrics
Georg Sperl, Rosa M Sánchez-Banderas, Manwen Li, Chris Wojtan, and Miguel A Otaduy. 2022 · 2022
Later among the works it cites.
Motion guided deep dynamic 3d garments
Meng Zhang, Duygu Ceylan, and Niloy J Mitra. 2022 · 2022
Later among the works it cites.
PhysGraph: Physics-Based Integration Using Graph Neural Networks
Oshri Halimi, Egor Larionov, Zohar Barzelay, Philipp Herholz, and Tuur Stuyck. 2023 · 2023
Closest in time.