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Digital watermarking is widely used for copyright protection.
Illumination for computer generated pictures
Bui Tuong Phong · 1975
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Comparing images using the hausdorff distance
D. P. Huttenlocher, G. A. Klanderman, and W. J. Rucklidge · 1993
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Robust mesh watermarking
Emil Praun, Hugues Hoppe, and Adam Finkelstein · 1999
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A frequency-domain approach to watermarking 3d shapes
Ryutarou Ohbuchi, Akio Mukaiyama, and Shigeo Takahashi · 2002
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High-Pass Quantization for Mesh Encoding
Olga Sorkine, Daniel Cohen-Or, and Sivan Toledo · 2003
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Wavelet-based blind watermarking of 3d models
Francesca Uccheddu, Massimiliano Corsini, and Mauro Barni · 2004
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Toward a 3d watermarking benchmark
Jihane Bennour and Jean-Luc Dugelay · 2007
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A comprehensive survey on three-dimensional mesh watermarking
Kai Wang, Guillaume Lavoue, Florence Denis, and Atilla Baskurt · 2008
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A multiscale metric for 3d mesh visual quality assessment
Guillaume Lavoué · 2011
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ImageNet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
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Opendr: An approximate differentiable renderer
Matthew M Loper and Michael J Black · 2014
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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3d ShapeNets: A deep representation for volumetric shapes
Zhirong Wu, Shuran Song, Aditya Khosla, Fisher Yu, Linguang Zhang, Xiaoou Tang, and Jianxiong Xiao · 2015
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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OpenGL programming guide: the official guide to learning OpenGL, Version 4.5 with SPIR-V
John Kessenich, Graham Sellers, and Dave Shreiner · 2016
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On the efficiency of image metrics for evaluating the visual quality of 3d models
Guillaume Lavoué, Mohamed Chaker Larabi, and Libor Váša · 2016
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Blind 3d mesh watermarking for 3d printed model by analyzing layering artifact
Jong-Uk Hou, Do-Gon Kim, and Heung-Kyu Lee · 2017
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Pointnet: Deep learning on point sets for 3d classification and segmentation
Charles R Qi, Hao Su, Kaichun Mo, and Leonidas J Guibas · 2017
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PointNet: Deep learning on point sets for 3d classification and segmentation
Charles R. Qi, Hao Su, Kaichun Mo, and Leonidas J. Guibas · 2017
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PointNet++: Deep hierarchical feature learning on point sets in a metric space
HiDDeN: Hiding Data with Deep Networks
Jiren Zhu, Russell Kaplan, Justin Johnson, and Li Fei-Fei · 2018
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Blind robust 3d mesh watermarking based on mesh saliency and wavelet transform for copyright protection
Mohamed Hamidi, Aladine Chetouani, Mohamed El Haziti, Mohammed El Hassouni, and Hocine Cherifi · 2019
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A novel watermarking algorithm for three-dimensional point-cloud models based on vertex curvature
Jing Liu, Yajie Yang, Douli Ma, Wenjuan He, and Yinghui Wang · 2019
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Soft rasterizer: A differentiable renderer for image-based 3d reasoning
Shichen Liu, Tianye Li, Weikai Chen, and Hao Li · 2019
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A novel two-stage separable deep learning framework for practical blind watermarking
Yang Liu, Mengxi Guo, Jian Zhang, Yuesheng Zhu, and Xiaodong Xie · 2019
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Charles Ruizhongtai Qi, Li Yi, Hao Su, and Leonidas J Guibas · 2017
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Perceptual 3d watermarking using mesh saliency
Jeongho Son, Dongkyu Kim, Hak-Yeol Choi, Han-Ul Jang, and Sunghee Choi · 2017
Cited alongside, same era.
Multi-view supervision for single-view reconstruction via differentiable ray consistency
Shubham Tulsiani, Tinghui Zhou, Alexei A. Efros, and Jitendra Malik · 2017
Cited alongside, same era.
ReDMark: Framework for residual diffusion watermarking based on deep networks
Mahdi Ahmadi, Alireza Norouzi, S. M. Reza Soroushmehr, Nader Karimi, Kayvan Najarian, Shadrokh Samavi, and Ali Emami · 2018
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Unsupervised training for 3d morphable model regression
Kyle Genova, Forrester Cole, Aaron Maschinot, Aaron Sarna, Daniel Vlasic, and William T Freeman · 2018
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Differentiable monte carlo ray tracing through edge sampling
Tzu-Mao Li, Miika Aittala, Frédo Durand, and Jaakko Lehtinen · 2018
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Generating 3d faces using convolutional mesh autoencoders
Anurag Ranjan, Timo Bolkart, Soubhik Sanyal, and Michael J. Black · 2018
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Deepvoxels: Learning persistent 3d feature embeddings
Vincent Sitzmann, Justus Thies, Felix Heide, Matthias Nießner, Gordon Wetzstein, and Michael Zollhöfer · 2019
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Stegastamp: Invisible hyperlinks in physical photographs
Matthew Tancik, Ben Mildenhall, and Ren Ng · 2019
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ROMark: A robust watermarking system using adversarial training
Bingyang Wen and Sergul Aydore · 2019
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Light field messaging with deep photographic steganography
Eric Wengrowski and Kristin Dana · 2019
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Differentiable surface splatting for point-based geometry processing
Wang Yifan, Felice Serena, Shihao Wu, Cengiz Öztireli, and Olga Sorkine-Hornung · 2019
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SteganoGAN: High capacity image steganography with gans
Kevin A. Zhang, Alfredo Cuesta-Infante, Lei Xu, and Kalyan Veeramachaneni · 2019
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Distortion agnostic deep watermarking
Xiyang Luo, Ruohan Zhan, Huiwen Chang, Feng Yang, and Peyman Milanfar · 2020
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CGAL: The computational geometry algorithms library
The CGAL Project · 2020
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Fully convolutional mesh autoencoder using efficient spatially varying kernels
Yi Zhou, Chenglei Wu, Zimo Li, Chen Cao, Yuting Ye, Jason Saragih, Hao Li, and Yaser Sheikh · 2020
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