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A Multi-Implicit Neural Representation for Fonts


Jun 12, 2021
Pradyumna Reddy, Zhifei Zhang, Matthew Fisher, Hailin Jin, Zhaowen Wang, Niloy J. Mitra


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MarioNette: Self-Supervised Sprite Learning


Apr 29, 2021
Dmitriy Smirnov, Michael Gharbi, Matthew Fisher, Vitor Guizilini, Alexei A. Efros, Justin Solomon


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CharacterGAN: Few-Shot Keypoint Character Animation and Reposing


Feb 05, 2021
Tobias Hinz, Matthew Fisher, Oliver Wang, Eli Shechtman, Stefan Wermter

* Code and supplementary material can be found at https://github.com/tohinz/CharacterGAN 

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DECOR-GAN: 3D Shape Detailization by Conditional Refinement


Dec 16, 2020
Zhiqin Chen, Vladimir Kim, Matthew Fisher, Noam Aigerman, Hao Zhang, Siddhartha Chaudhuri

* Paper and supplementary material. User interface demo video: https://youtu.be/xIQ0aslpn8g 

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LayoutGMN: Neural Graph Matching for Structural Layout Similarity


Dec 11, 2020
Akshay Gadi Patil, Manyi Li, Matthew Fisher, Manolis Savva, Hao Zhang


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COALESCE: Component Assembly by Learning to Synthesize Connections


Aug 05, 2020
Kangxue Yin, Zhiqin Chen, Siddhartha Chaudhuri, Matthew Fisher, Vladimir Kim, Hao Zhang

* 19 pages: paper + supplementary 

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Coupling Explicit and Implicit Surface Representations for Generative 3D Modeling


Jul 20, 2020
Omid Poursaeed, Matthew Fisher, Noam Aigerman, Vladimir G. Kim

* ECCV 2020 

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Modeling Artistic Workflows for Image Generation and Editing


Jul 14, 2020
Hung-Yu Tseng, Matthew Fisher, Jingwan Lu, Yijun Li, Vladimir Kim, Ming-Hsuan Yang

* ECCV 2020. Code: https://github.com/hytseng0509/ArtEditing 

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Improved Techniques for Training Single-Image GANs


Mar 25, 2020
Tobias Hinz, Matthew Fisher, Oliver Wang, Stefan Wermter

* Code available at https://github.com/tohinz/ConSinGAN 

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UprightNet: Geometry-Aware Camera Orientation Estimation from Single Images


Aug 19, 2019
Wenqi Xian, Zhengqi Li, Matthew Fisher, Jonathan Eisenmann, Eli Shechtman, Noah Snavely


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Learning elementary structures for 3D shape generation and matching


Aug 14, 2019
Theo Deprelle, Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry


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Unsupervised cycle-consistent deformation for shape matching


Jul 06, 2019
Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry


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Deep Parametric Shape Predictions using Distance Fields


Apr 18, 2019
Dmitriy Smirnov, Matthew Fisher, Vladimir G. Kim, Richard Zhang, Justin Solomon


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BAE-NET: Branched Autoencoder for Shape Co-Segmentation


Mar 27, 2019
Zhiqin Chen, Kangxue Yin, Matthew Fisher, Siddhartha Chaudhuri, Hao Zhang

* Supplementary material: https://www.sfu.ca/~zhiqinc/imseg/sup.pdf 

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Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction


Mar 20, 2019
Chen-Hsuan Lin, Oliver Wang, Bryan C. Russell, Eli Shechtman, Vladimir G. Kim, Matthew Fisher, Simon Lucey

* Accepted to CVPR 2019 (project page & code: https://chenhsuanlin.bitbucket.io/photometric-mesh-optim/

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3D-CODED : 3D Correspondences by Deep Deformation


Jul 27, 2018
Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry


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AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation


Jul 20, 2018
Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry


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Multi-Content GAN for Few-Shot Font Style Transfer


Dec 01, 2017
Samaneh Azadi, Matthew Fisher, Vladimir Kim, Zhaowen Wang, Eli Shechtman, Trevor Darrell


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Opt: A Domain Specific Language for Non-linear Least Squares Optimization in Graphics and Imaging


Sep 09, 2017
Zachary DeVito, Michael Mara, Michael Zollhöfer, Gilbert Bernstein, Jonathan Ragan-Kelley, Christian Theobalt, Pat Hanrahan, Matthew Fisher, Matthias Nießner


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3DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructions


Apr 09, 2017
Andy Zeng, Shuran Song, Matthias Nießner, Matthew Fisher, Jianxiong Xiao, Thomas Funkhouser

* To appear at the Conference on Computer Vision and Pattern Recognition (CVPR) 2017. Project webpage: http://3dmatch.cs.princeton.edu 

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