no code implementations • 18 Apr 2024 • Thibault Castells, Hyoung-Kyu Song, Bo-Kyeong Kim, Shinkook Choi
Latent Diffusion Models (LDMs) have emerged as powerful generative models, known for delivering remarkable results under constrained computational resources.
no code implementations • 18 Apr 2024 • Thibault Castells, Hyoung-Kyu Song, Tairen Piao, Shinkook Choi, Bo-Kyeong Kim, Hanyoung Yim, Changgwun Lee, Jae Gon Kim, Tae-Ho Kim
The intensive computational burden of Stable Diffusion (SD) for text-to-image generation poses a significant hurdle for its practical application.
no code implementations • 5 Feb 2024 • Bo-Kyeong Kim, Geonmin Kim, Tae-Ho Kim, Thibault Castells, Shinkook Choi, Junho Shin, Hyoung-Kyu Song
Structured pruning of modern large language models (LLMs) has emerged as a way of decreasing their high computational needs.
3 code implementations • 25 May 2023 • Bo-Kyeong Kim, Hyoung-Kyu Song, Thibault Castells, Shinkook Choi
Text-to-image (T2I) generation with Stable Diffusion models (SDMs) involves high computing demands due to billion-scale parameters.
DreamBooth Personalized Generation Image-to-Image Translation
no code implementations • 2 Apr 2023 • Bo-Kyeong Kim, Jaemin Kang, Daeun Seo, Hancheol Park, Shinkook Choi, Hyoung-Kyu Song, Hyungshin Kim, Sungsu Lim
Virtual humans have gained considerable attention in numerous industries, e. g., entertainment and e-commerce.
no code implementations • 29 Jun 2022 • Bo-Kyeong Kim, Shinkook Choi, Hancheol Park
Pruning effectively compresses overparameterized models.
1 code implementation • 14 Mar 2020 • Bo-Kyeong Kim, Sungjin Park, Geonmin Kim, Soo-Young Lee
We aim to separate the generative factors of data into two latent vectors in a variational autoencoder.
1 code implementation • 6 Nov 2018 • Geonmin Kim, Hwaran Lee, Bo-Kyeong Kim, Sang-Hoon Oh, Soo-Young Lee
Many speech enhancement methods try to learn the relationship between noisy and clean speech, obtained using an acoustic room simulator.