The Car Image Generation Quality of DCGAN and VSGAN: A Comparative Study
Author:
Affiliation:
1. BRAC University Dhaka,Computer Science and Engineering,Bangladesh
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10636850/10636819/10636901.pdf?arnumber=10636901
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1. Using Vehicle Synthesis Generative Adversarial Networks to Improve Vehicle Detection in Remote Sensing Images
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3. Application of conditional generative adversarial network to multi-step car-following modeling
4. A comparative study of generative adversarial networks for generating car damaged images;Kyu,2023
5. BigGAN evaluation for the generation of vehicle interior images
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