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To be truly understandable and accepted by Deaf communities, an automatic Sign Language Production (SLP) system must generate a photo-realistic signer.
Sign Language Structure
William C Stokoe · 1980
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Recognition of Sign Language Motion Images
Shinichi Tamura and Shingo Kawasaki · 1988
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Mixture Density Networks
Christopher M Bishop · 1994
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Isolated Sign Language Recognition using Hidden Markov Models
Kirsti Grobel and Marcell Assan · 1997
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Real-time American Sign Language Recognition from Video using Hidden Markov Models
Thad Starner and Alex Pentland · 1997
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Video-Based Continuous Sign Language Recognition using Statistical Methods
Britta Bauer, Hermann Hienz, and K-F Kraiss · 2000
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TESSA, a System to Aid Communication with Deaf People
Stephen Cox, Michael Lincoln, Judy Tryggvason, Melanie Nakisa, Mark Wells, Marcus Tutt, and Sanja Abbott · 2002
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Image Quality Assessment: From Error Visibility to Structural Similarity
Zhou Wang, Alan C Bovik, Hamid R Sheikh, and Eero P Simoncelli · 2004
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Educational Resources and Implementation of a Greek Sign Language Synthesis Architecture
Kostas Karpouzis, George Caridakis, S-E Fotinea, and Eleni Efthimiou · 2007
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Assessing the Deaf User Perspective on Sign Language Avatars
Michael Kipp, Quan Nguyen, Alexis Heloir, and Silke Matthes · 2011
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Unsupervised Classification of Extreme Facial Events using Active Appearance Models Tracking for Sign Language Videos
Epameinondas Antonakos, Vassilis Pitsikalis, Isidoros Rodomagoulakis, and Petros Maragos · 2012
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Extensions of the Sign Language Recognition and Translation Corpus RWTH-PHOENIX-Weather
Jens Forster, Christoph Schmidt, Oscar Koller, Martin Bellgardt, and Hermann Ney · 2014
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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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Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan and Andrew Zisserman · 2014
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Continuous Sign Language Recognition: Towards Large Vocabulary Statistical Recognition Systems Handling Multiple Signers
Oscar Koller, Jens Forster, and Hermann Ney · 2015
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Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford, Luke Metz, and Soumith Chintala · 2015
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U-net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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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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Automated Technique for Real-Time Production of Lifelike Animations of American Sign Language
John McDonald, Rosalee Wolfe, Jerry Schnepp, Julie Hochgesang, Diana Gorman Jamrozik, Marie Stumbo, Larwan Berke, Melissa Bialek, and Farah Thomas · 2016
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Isolated Sign Language Recognition using Improved Dense Trajectories
Oğulcan Özdemir, Necati Cihan Camgöz, and Lale Akarun · 2016
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Generating Videos with Scene Dynamics
Carl Vondrick, Hamed Pirsiavash, and Antonio Torralba · 2016
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SubUNets: End-to-end Hand Shape and Continuous Sign Language Recognition
Necati Cihan Camgoz, Simon Hadfield, Oscar Koller, and Richard Bowden · 2017
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OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
Zhe Cao, Gines Hidalgo, Tomas Simon, Shih-En Wei, and Yaser Sheikh · 2017
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Recurrent Convolutional Neural Networks for Continuous Sign Language Recognition by Staged Optimization
Runpeng Cui, Hu Liu, and Changshui Zhang · 2017
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GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2017
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Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A Efros · 2017
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Pose Guided Person Image Generation
Liqian Ma, Xu Jia, Qianru Sun, Bernt Schiele, Tinne Tuytelaars, and Luc Van Gool · 2017
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Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
Jun-Yan Zhu, Taesung Park, Phillip Isola, and Alexei A Efros · 2017
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Synthesizing Images of Humans in Unseen Poses
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
Egor Zakharov, Aliaksandra Shysheya, Egor Burkov, and Victor Lempitsky · 2019
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Dance Dance Generation: Motion Transfer for Internet Videos
Yipin Zhou, Zhaowen Wang, Chen Fang, Trung Bui, and Tamara Berg · 2019
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Progressive Pose Attention Transfer for Person Image Generation
Zhen Zhu, Tengteng Huang, Baoguang Shi, Miao Yu, Bofei Wang, and Xiang Bai · 2019
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Multi-channel Transformers for Multi-articulatory Sign Language Translation
Necati Cihan Camgoz, Oscar Koller, Simon Hadfield, and Richard Bowden · 2020
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Sign Language Transformers: Joint End-to-end Sign Language Recognition and Translation
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Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive Learning
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Neural Sign Language Translation
Necati Cihan Camgoz, Simon Hadfield, Oscar Koller, Hermann Ney, and Richard Bowden · 2018
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Deformable GANs for Pose-Based Human Image Generation
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Sign Language Production using Neural Machine Translation and Generative Adversarial Networks
Stephanie Stoll, Necati Cihan Camgoz, Simon Hadfield, and Richard Bowden · 2018
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GestureGAN for Hand Gesture-to-Gesture Translation in the wild
Hao Tang, Wei Wang, Dan Xu, Yan Yan, and Nicu Sebe · 2018
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MoCoGAN: Decomposing Motion and Content for Video Generation
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Video-to-Video Synthesis
Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Guilin Liu, Andrew Tao, Jan Kautz, and Bryan Catanzaro · 2018
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Yu Deng, Jiaolong Yang, Dong Chen, Fang Wen, and Xin Tong · 2020
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CONFIG: Controllable Neural Face Image Generation
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World-Consistent Video-to-Video Synthesis
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GAC-GAN: A General Method for Appearance-Controllable Human Video Motion Transfer
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MM-Hand: 3D-Aware Multi-Modal Guided Hand Generative Network for 3D Hand Pose Synthesis
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Skeleton-based Chinese Sign Language Recognition and Generation for Bidirectional Communication between Deaf and Hearing People
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