Search Results for author: Changgwun Lee

Found 2 papers, 0 papers with code

EdgeFusion: On-Device Text-to-Image Generation

no code implementations18 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.

Knowledge Distillation Quantization +1

Convolutional Neural Network Quantization using Generalized Gamma Distribution

no code implementations31 Oct 2018 Doyun Kim, Han Young Yim, Sanghyuck Ha, Changgwun Lee, Inyup Kang

As edge applications using convolutional neural networks (CNN) models grow, it is becoming necessary to introduce dedicated hardware accelerators in which network parameters and feature-map data are represented with limited precision.

Quantization

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