Our paper is accepted on ECCV 2024

"Nickel and Diming Your GAN: A Dual-Method Approach to Enhancing GAN Efficiency via Knowledge Distillation"

Website: https://sangyeopyeo.github.io/Nickel_and_Diming_Your_GAN/
Sangyeop Yeo, Yoojin Jang, Jaejun Yoo
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Curriculum Vitae

Updated on October 11.


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Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book.


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LATEST WORKS

(AAAI 2023) Can We Find Strong Lottery Tickets in Generative Models?

(ECCV 2024) Nickel and Diming Your GAN: A Dual-Method Approach to Enhancing GAN Efficiency via Knowledge Distillation

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Website for studying generative models.


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This blog deals with computer vision and mostly covers topics related to generative models. In addition to the latest papers, it also includes essential foundational papers as well as mathematics and engineering based on books. Blog posts, excluding publication-related content, are written in Korean.


Sangyeop Yeo

Combined Master's and Ph.D. Programs - Lab. of Advanced Imaging Tech (LAIT) at Ulsan National Institute of Science and Technology (UNIST)

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Website for studying generative models.

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UNIST-gil, 50,
44919, Ulsan,
Republic of Korea.