Everybody Sign Now: Translating Spoken Language to Photo Realistic Sign Language Video (original) (raw)

SignSynth: Data-Driven Sign Language Video Generation

Simon Hadfield

Computer Vision – ECCV 2020 Workshops, 2020

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Can Everybody Sign Now? Exploring Sign Language Video Generation from 2D Poses

Amanda Duarte

2020

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Text2Sign: Towards Sign Language Production Using Neural Machine Translation and Generative Adversarial Networks

Simon Hadfield

International Journal of Computer Vision

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Sign Language Production using Neural Machine Translation and Generative Adversarial Networks

Simon Hadfield, Necati Cihan Camgoz

British Machine Vision Conference (BMVC), 2018

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Sign Language Production Using Neural Machine Translation And Generative Adervsarial Networks

Stephanie Stoll

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Mixed SIGNals: Sign Language Production via a Mixture of Motion Primitives

Necati Cihan Camgoz

2021

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Continuous 3D Multi-Channel Sign Language Production via Progressive Transformers and Mixture Density Networks

Necati Cihan Camgoz

Int. J. Comput. Vis., 2021

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Adversarial Training for Multi-Channel Sign Language Production

Richard Bowden

ArXiv, 2020

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Conversion of Sign Language Video to Text and Speech

IJRASET Publication

International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2022

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MotionScript: Sign Language to Voice Converter

Chaitanya Kakade, Vishal Kaira

International Journal of Computer Applications (IJCA), 2024

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A data augmentation approach for sign-language-to-text translation in-the-wild

Eleftherios Avramidis

Language Data and Knowledge Connference , 2021

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Neural Sign Language Translation Based on Human Keypoint Estimation

Sang Ki Ko

Applied Sciences

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Translating sign language videos to talking faces

Seshadri Mazumder

Proceedings of the Twelfth Indian Conference on Computer Vision, Graphics and Image Processing, 2021

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Development of an End-to-End Deep Learning Framework for Sign Language Recognition, Translation, and Video Generation

Lubna Gabralla

IEEE Access

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Learning Three-dimensional Skeleton Data from Sign Language Video

Rian muhamad Rian Muhamad

ACM Transactions on Intelligent Systems and Technology, 2020

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Deep JSLC: A Multimodal Corpus Collection for Data-driven Generation of Japanese Sign Language Expressions

Rian muhamad Rian Muhamad

2018

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Sign Language Production: A Review

Kourosh Kiani

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2021

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American Sign Language Recognition and Generation : A CNN-based Approach

International Journal of Scientific Research in Computer Science, Engineering and Information Technology IJSRCSEIT

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2023

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SignNet: Single Channel Sign Generation using Metric Embedded Learning

Ifeoma Nwogu

2023 IEEE 17th International Conference on Automatic Face and Gesture Recognition (FG)

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IJERT-Sign Language to Text and Speech Translation in Real Time Using Convolutional Neural Network

IJERT Journal

International Journal of Engineering Research and Technology (IJERT), 2020

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Open-Domain Sign Language Translation Learned from Online Video

Diane Brentari

arXiv (Cornell University), 2022

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Synthetic animation of deaf signing gestures

Richard Kennaway

Gesture and Sign Language in Human-Computer …, 2001

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Character-level arabic text generation from sign language video using encoder–decoder model

Mohamed Benaddy

Displays

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SDW-ASL: A Dynamic System to Generate Large Scale Dataset for Continuous American Sign Language

Yehong Jiang

arXiv (Cornell University), 2022

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Sign Language to Text and Speech Conversion

Bikash Yadav

2021

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Sign Language Translation from Instructional Videos

laia tarres

arXiv (Cornell University), 2023

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FluentSigners-50: A signer independent benchmark dataset for sign language processing

Medet Mukushev

PLOS ONE

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Sign Language Translator using Deep Learning

Saraswati Nagtilak, Prajay Agarwal, Rahul Sharma, Uday Patil, Swaroop Patwari

2020

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Conversion of Sign Language to Text

Akash Kamble

International Journal for Research in Applied Science and Engineering Technology

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How2Sign: A Large-scale Multimodal Dataset for Continuous American Sign Language

Kenneth DeHaan

arXiv (Cornell University), 2020

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Text-To-Sign Language Synthesis Tool

Maria Papadogiorgaki

2000

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