Pose-Guided Sign Language Video GAN with Dynamic Lambda
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Abstract (arXiv)
We propose a novel approach for the synthesis of sign language videos using GANs. We extend the previous work of Stoll et al. by using the human semantic parser of the Soft-Gated Warping-GAN from to produce photorealistic videos guided by region-level spatial layouts. Synthesizing target poses improves performance on independent and contrasting signers. Therefore, we have evaluated our system with the highly heterogeneous MS-ASL dataset with over 200 signers resulting in a SSIM of 0.893. Furthermore, we introduce a periodic weighting approach to the generator that reactivates the training and leads to quantitatively better results.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 18 of its 26 references that are in the map. First posted on arXiv 6 May 2021.
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18 of 26 references.
References · 18
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- 2016Image-to-Image Translation with Conditional Adversarial Networkscited by 4,527
- 2017High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANscited by 1,179
- 2018OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fieldscited by 1,162
- 2020Sign Language Transformers: Joint End-to-end Sign Language Recognition and Translationcited by 256
- 2017Pose Guided Person Image Generationcited by 251
- 2019Word-level Deep Sign Language Recognition from Video: A New Large-scale Dataset and Methods Comparisoncited by 218
- 2020How2Sign: A Large-scale Multimodal Dataset for Continuous American Sign Languagecited by 173
- 2019Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesiscited by 161
- 2018MS-ASL: A Large-Scale Data Set and Benchmark for Understanding American Sign Languagecited by 118
- 2018Synthesizing Images of Humans in Unseen Posescited by 97
- 2018Look into Person: Joint Body Parsing & Pose Estimation Network and A New Benchmarkcited by 79
6 more
- 2018Soft-Gated Warping-GAN for Pose-Guided Person Image Synthesiscited by 59
- 2020Adversarial Training for Multi-Channel Sign Language Productioncited by 57
- 2020Can Everybody Sign Now? Exploring Sign Language Video Generation from 2D Posescited by 12
- 2018DeepASL: Enabling Ubiquitous and Non-Intrusive Word and Sentence-Level Sign Language Translationcited by 10
- 2017Using Deep Convolutional Networks for Gesture Recognition in American Sign Languagecited by 4
- 2019American Sign Language Alphabet Recognition using Deep Learningcited by 1
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3 papers.