Generative Adversarial Networks (GANs) in the Wild: Applications, Challenges, and Future Prospects-Reference-Cited by-同舟云学术

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Generative Adversarial Networks (GANs) in the Wild: Applications, Challenges, and Future Prospects

Published:2024-03-15 Issue: Volume:10 Page:726-730
ISSN:
Container-title:2024 2nd International Conference on Disruptive Technologies (ICDT)
language:
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Author:

Kumar Rakesh¹,Chaudhary Pooja²,Gupta Shilpi³,Singhal Manoj⁴

Affiliation:

1. GLA University,Department of Computer Engineering & Applications,Mathura,UP,India

2. Raj Kumar Goel Institute of Technology,Department of CSE (Data Science),Ghaziabad,UP,India

3. Meerut Institute of Technology,Department of Computer Science & Engineering,Meerut,UP,India

4. GL Bajaj Institute of Technology & Management,Department of Information Technology,Greater Noida,UP,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10488912/10488915/10489538.pdf?arnumber=10489538

Reference17 articles.

1. 2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)

2. Multimodal Sensor-Input Architecture with Deep Learning for Audio-Visual Speech Recognition in Wild

3. GlowGAN: Unsupervised Learning of HDR Images from LDR Images in the Wild

4. ADL-GAN: Data Augmentation to Improve In-the-Wild ADL Recognition Using GANs

5. Learning Pixel Perception for Identity and Illumination Consistency Face Frontalization in the Wild

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