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Transferring the style from one image onto another is a popular and widely studied task in computer vision.
Deformation transfer for triangle meshes
Robert W Sumner and Jovan Popović · 2004
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Mean value coordinates for closed triangular meshes
Tao Ju, Scott Schaefer, and Joe Warren · 2005
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As-rigid-as-possible surface modeling
Olga Sorkine and Marc Alexa · 2007
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Rectified linear units improve restricted boltzmann machines
Vinod Nair and Geoffrey E Hinton · 2010
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Style-content separation by anisotropic part scales
Kai Xu, Honghua Li, Hao Zhang, Daniel Cohen-Or, Yueshan Xiong, and Zhi-Quan Cheng · 2010
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Cager: cage-based reverse engineering of animated 3d shapes
Jean-Marc Thiery, Julien Tierny, and Tamy Boubekeur · 2012
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Curve style analysis in a set of shapes
Honghua Li, Hao Zhang, Yanzhen Wang, Junjie Cao, Ariel Shamir, and Daniel Cohen-Or · 2013
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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Analogy-driven 3d style transfer
Chongyang Ma, Haibin Huang, Alla Sheffer, Evangelos Kalogerakis, and Rui Wang · 2014
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
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Dropout: a simple way to prevent neural networks from overfitting
Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov · 2014
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Shapenet: An information-rich 3d model repository
Angel X Chang, Thomas Funkhouser, Leonidas Guibas, Pat Hanrahan, Qixing Huang, Zimo Li, Silvio Savarese, Manolis Savva, Shuran Song, Hao Su, et al · 2015
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Learning to generate chairs with convolutional neural networks
Alexey Dosovitskiy, Jost Tobias Springenberg, and Thomas Brox · 2015
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3d shape creation by style transfer
Zhizhong Han, Zhenbao Liu, Junwei Han, and Shuhui Bu · 2015
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
Sergey Ioffe and Christian Szegedy · 2015
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Smpl: A skinned multi-person linear model
Matthew Loper, Naureen Mahmood, Javier Romero, Gerard Pons-Moll, and Michael J Black · 2015
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Elements of style: learning perceptual shape style similarity
Zhaoliang Lun, Evangelos Kalogerakis, and Alla Sheffer · 2015
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Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, Ian Goodfellow, and Brendan Frey · 2015
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Nested cages
Leonardo Sacht, Etienne Vouga, and Alec Jacobson · 2015
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Learning to generate chairs, tables and cars with convolutional networks
Alexey Dosovitskiy, Jost Tobias Springenberg, Maxim Tatarchenko, and Thomas Brox · 2016
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Image style transfer using convolutional neural networks
Leon A Gatys, Alexander S Ecker, and Matthias Bethge · 2016
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Perceptual losses for real-time style transfer and super-resolution
Justin Johnson, Alexandre Alahi, and Li Fei-Fei · 2016
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Coupled generative adversarial networks
Ming-Yu Liu and Oncel Tuzel · 2016
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Functionality preserving shape style transfer
Zhaoliang Lun, Evangelos Kalogerakis, Rui Wang, and Alla Sheffer · 2016
Cited alongside, same era.
Instance normalization: The missing ingredient for fast stylization
Dmitry Ulyanov, Andrea Vedaldi, and Victor Lempitsky · 2016
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Bounding proxies for shape approximation
Stéphane Calderon and Tamy Boubekeur · 2017
Chun-Liang Li, Manzil Zaheer, Yang Zhang, Barnabas Poczos, and Ruslan Salakhutdinov · 2018
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Adaptive batch normalization for practical domain adaptation
Yanghao Li, Naiyan Wang, Jianping Shi, Xiaodi Hou, and Jiaying Liu · 2018
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Foldingnet: Point cloud auto-encoder via deep grid deformation
Yaoqing Yang, Chen Feng, Yiru Shen, and Dong Tian · 2018
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Semi-supervised co-analysis of 3d shape styles from projected lines
Fenggen Yu, Yan Zhang*, Kai Xu, Ali Mahdavi-Amiri, and Hao Zhang · 2018
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Unsupervised cycle-consistent deformation for shape matching
Thibault Groueix, Matthew Fisher, Vladimir G Kim, Bryan C Russell, and Mathieu Aubry · 2019
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Cited alongside, same era.
Co-locating style-defining elements on 3d shapes
Ruizhen Hu, Wenchao Li, Oliver Van Kaick, Hui Huang, Melinos Averkiou, Daniel Cohen-Or, and Hao Zhang · 2017
Cited alongside, same era.
Arbitrary style transfer in real-time with adaptive instance normalization
Xun Huang and Serge Belongie · 2017
Cited alongside, same era.
Image-to-image translation with conditional adversarial networks
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A Efros · 2017
Cited alongside, same era.
Learning to discover cross-domain relations with generative adversarial networks
Taeksoo Kim, Moonsu Cha, Hyunsoo Kim, Jung Kwon Lee, and Jiwon Kim · 2017
Cited alongside, same era.
Photo-realistic single image super-resolution using a generative adversarial network
Christian Ledig, Lucas Theis, Ferenc Huszár, Jose Caballero, Andrew Cunningham, Alejandro Acosta, Andrew Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, et al · 2017
Cited alongside, same era.
Unsupervised image-to-image translation networks
Ming-Yu Liu, Thomas Breuel, and Jan Kautz · 2017
Cited alongside, same era.
Kaichun Mo, Paul Guerrero, Li Yi, Hao Su, Peter Wonka, Niloy Mitra, and Leonidas J Guibas · 2019
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3dn: 3d deformation network
Weiyue Wang, Duygu Ceylan, Radomir Mech, and Ulrich Neumann · 2019
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Pointflow: 3d point cloud generation with continuous normalizing flows
Guandao Yang, Xun Huang, Zekun Hao, Ming-Yu Liu, Serge Belongie, and Bharath Hariharan · 2019
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Logan: Unpaired shape transform in latent overcomplete space
Kangxue Yin, Zhiqin Chen, Hui Huang, Daniel Cohen-Or, and Hao Zhang · 2019
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Psnet: A style transfer network for point cloud stylization on geometry and color
Xu Cao, Weimin Wang, Katashi Nagao, and Ryosuke Nakamura · 2020
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Limp: Learning latent shape representations with metric preservation priors
Luca Cosmo, Antonio Norelli, Oshri Halimi, Ron Kimmel, and Emanuele Rodolà · 2020
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Neural mesh flow: 3d manifold mesh generationvia diffeomorphic flows
Kunal Gupta and Manmohan Chandraker · 2020
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Ganhopper: Multi-hop gan for unsupervised image-to-image translation
Wallace Lira, Johannes Merz, Daniel Ritchie, Daniel Cohen-Or, and Hao Zhang · 2020
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Farm: Functional automatic registration method for 3d human bodies
Riccardo Marin, Simone Melzi, Emanuele Rodolà, and Umberto Castellani · 2020
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Breaking the cycle-colleagues are all you need
Ori Nizan and Ayellet Tal · 2020
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Contrastive learning for unpaired image-to-image translation
Taesung Park, Alexei A Efros, Richard Zhang, and Jun-Yan Zhu · 2020
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Balagan: Image translation between imbalanced domains via cross-modal transfer
Or Patashnik, Dov Danon, Hao Zhang, and Daniel Cohen-Or · 2020
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Batch normalization embeddings for deep domain generalization
Mattia Segu, Alessio Tonioni, and Federico Tombari · 2020
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Softpoolnet: Shape descriptor for point cloud completion and classification
Yida Wang, David Joseph Tan, Nassir Navab, and Federico Tombari · 2020
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Neural cages for detail-preserving 3d deformations
Wang Yifan, Noam Aigerman, Vladimir G Kim, Siddhartha Chaudhuri, and Olga Sorkine-Hornung · 2020
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