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Recent approaches to drape garments quickly over arbitrary human bodies leverage self-supervision to eliminate the need for large training sets.
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Xavier Provot et al · 1995
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D. Baraff and A. Witkin · 1998
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T. Vassilev, B. Spanlang, and Y. Chrysanthou · 2001
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Efficient Implementation of Marching Cubes’ Cases with Topological Guarantees
T. Lewiner, H. Lopes, A. W. Vieira, and G. Tavares · 2003
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C. Zeller · 2005
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R. Narain, A. Samii, and J.F. O’brien · 2012
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R. Narain, T. Pfaff, and J.F. O’Brien · 2013
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A GPU-based streaming algorithm for high-resolution cloth simulation
M. Tang, R. Tong, R. Narain, C. Meng, and D. Manocha · 2013
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Adaptive tearing and cracking of thin sheets
T. Pfaff, R. Narain, J.M. De Joya, and J.F. O’Brien · 2014
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Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
S. Ioffe and C. Szegedy · 2015
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Adam: A Method for Stochastic Optimisation
D. P. Kingma and J. Ba · 2015
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SMPL: A Skinned Multi-Person Linear Model
M. Loper, N. Mahmood, J. Romero, G. Pons-Moll, and M.J. Black · 2015
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A Point Set Generation Network for 3D Object Reconstruction from a Single Image
H. Fan, H. Su, and L. Guibas · 2017
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Quasi-newton methods for real-time simulation of hyperelastic materials
T. Liu, S. Bouaziz, and L. Kavan · 2017
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Clothcap: Seamless 4D Clothing Capture and Retargeting
G. Pons-Moll, S. Pujades, S. Hu, and M.J. Black · 2017
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Modulating Early Visual Processing by Language
H. De Vries, F. Strub, J. Mary, H. Larochelle, O. Pietquin, and A.C. Courville · 2017
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https://www.marvelousdesigner.com
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Nvcloth, 2018
Nvidia · 2018
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NVIDIA Flex, 2018
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https://optitex.com/
Optitext Fashion Design Software, 2018 · 2018
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GPU-based Real-time Cloth Simulation for Virtual Try-on
Tongkui Su, Yan Zhang, Yu Zhou, Yao Yu, and Sidan Du · 2018
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I-Cloth: Incremental Collision Handling for Gpu-Based Interactive Cloth Simulation
M. Tang, T. Wang, Z. Liu, R. Tong, and D. Manocha · 2018
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Learning a Shared Shape Space for Multimodal Garment Design
T. Y. Wang, D. Ceylan, J. Popovic, and N. J. Mitra · 2018
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Controlling Neural Level Sets
M. Atzmon, N. Haim, L. Yariv, O. Israelov, H. Maron, and Y. Lipman · 2019
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Multi-Garment Net: Learning to Dress 3D People from Images
B. L. Bhatnagar, G. Tiwari, C. Theobalt, and G. Pons-Moll · 2019
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Implicit untangling: A robust solution for modeling layered clothing
T. Buffet, D. Rohmer, L. Barthe, L. Boissieux, and M-P. Cani · 2019
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Garnet: A Two-Stream Network for Fast and Accurate 3D Cloth Draping
E. Gundogdu, V. Constantin, A. Seifoddini, M. Dang, M. Salzmann, and P. Fua · 2019
Cited alongside, same era.
Differentiable Cloth Simulation for Inverse Problems
J. Liang, M. Lin, and V. Koltun · 2019
Cited alongside, same era.
Sizer: A Dataset and Model for Parsing 3D Clothing and Learning Size Sensitive 3D Clothing
G. Tiwari, B. L. Bhatnagar, T. Tung, and G. Pons-Moll · 2020
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Fully Convolutional Graph Neural Networks for Parametric Virtual Try-On
R. Vidaurre, I. Santesteban, E. Garces, and D. Casas · 2020
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Renovating parsing R-CNN for accurate multiple human parsing
L. Yang, Q. Song, Z. Wang, M. Hu, C. Liu, X. Xin, W. Jia, and S. Xu · 2020
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PBNS: Physically Based Neural Simulation for Unsupervised Garment Pose Space Deformation
H. Bertiche, M. Madadi, and S. Escalera · 2021
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DeePSD: Automatic Deep Skinning and Pose Space Deformation for 3D Garment Animation
H. Bertiche, M. Madadi, E. Tylson, and S. Escalera · 2021
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Smplicit: Topology-Aware Generative Model for Clothed People
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AMASS: Archive of Motion Capture as Surface Shapes
N. Mahmood, N. Ghorbani, N. F. Troje, G. Pons-Moll, and M. J. Black · 2019
Cited alongside, same era.
Occupancy Networks: Learning 3D Reconstruction in Function Space
L. Mescheder, M. Oechsle, M. Niemeyer, S. Nowozin, and A. Geiger · 2019
Cited alongside, same era.
Deepsdf: Learning Continuous Signed Distance Functions for Shape Representation
J. J. Park, P. Florence, J. Straub, R. A. Newcombe, and S. Lovegrove · 2019
Cited alongside, same era.
Learning-Based Animation of Clothing for Virtual Try-On
I. Santesteban, M. A. Otaduy, and D. Casas · 2019
Cited alongside, same era.
Dynamic Graph CNN for Learning on Point Clouds
Y. Wang, Y. Sun, Z. Liu, S. Sarma, M. Bronstein, and J.M. Solomon · 2019
Cited alongside, same era.
SALD: Sign Agnostic Learning with Derivatives
M. Atzmon and Y. Lipman · 2020
Cited alongside, same era.
E. Corona, A. Pumarola, G. Alenya, G. Pons-Moll, and F. Moreno-Noguer · 2021
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Everybody Is Unique: Towards Unbiased Human Mesh Recovery
R. Li, M. Zheng, S. Karanam, T. Chen, and Z. Wu · 2021
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Deep physics-aware inference of cloth deformation for monocular human performance capture
Y. Li, M. Habermann, B. Thomaszewski, S. Coros, T. Beeler, and C. Theobalt · 2021
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Self-Supervised Collision Handling via Generative 3D Garment Models for Virtual Try-On
I. Santesteban, N. Thuerey, M. A. Otaduy, and D. Casas · 2021
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Deep Implicit Surface Point Prediction Networks
R. Venkatesh, T. Karmali, S. Sharma, A. Ghosh, R. V. Babu, L. A. Jeni, and M. Singh · 2021
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Frankmocap: Fast monocular 3d hand and body motion capture by regression and integration
Yu Y. Rong, T. Shiratori, and H. Joo · 2021
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Point-based modeling of human clothing
I. Zakharkin, K. Mazur, A. Grigorev, and V. Lempitsky · 2021
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Learning Anchored Unsigned Distance Functions with Gradient Direction Alignment for Single-View Garment Reconstruction
F. Zhao, W. Wang, S. Liao, and L. Shao · 2021
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Adversarial Parametric Pose Prior
A. Davydov, A. Remizova, V. Constantin, S. Honari, M. Salzmann, and P. Fua · 2022
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Meshudf: Fast and Differentiable Meshing of Unsigned Distance Field Networks
B. Guillard, F. Stella, and P. Fua · 2022
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Garnet++: Improving Fast and Accurate Static 3D Cloth Draping by Curvature Loss
E. Gundogdu, V. Constantin, S. Parashar, A. Seifoddini, M. Dang, M. Salzmann, and P. Fua · 2022
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DIG: Draping Implicit Garment over the Human Body
R. Li, B. Guillard, E. Remelli, and P. Fua · 2022
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A Level Set Theory for Neural Implicit Evolution under Explicit Flows
I. Mehta, M. Chandraker, and R. Ramamoorthi · 2022
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3d clothed human reconstruction in the wild
G. Moon, H. Nam, T. Shiratori, and K.M. Lee · 2022
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Predicting loose-fitting garment deformations using bone-driven motion networks
X. Pan, J. Mai, X. Jiang, D. Tang, J. Li, T. Shao, K. Zhou, X. Jin, and D. Manocha · 2022
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SNUG: Self-Supervised Neural Dynamic Garments
I. Santesteban, M.A. Otaduy, and D. Casas · 2022
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Ulnef: Untangled layered neural fields for mix-and-match virtual try-on
I. Santesteban, M.A. Otaduy, N. Thuerey, and D. Casas · 2022
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