1 code implementation • 14 Mar 2024 • Wonjun Kang, Kevin Galim, Hyung Il Koo
A commonly adopted strategy for editing real images involves inverting the diffusion process to obtain a noisy representation of the original image, which is then denoised to achieve the desired edits.
1 code implementation • 2 Feb 2024 • Yuchen Zeng, Wonjun Kang, Yicong Chen, Hyung Il Koo, Kangwook Lee
The evolution from Large Language Models (LLMs) to Multimodal Large Language Models (MLLMs) has spurred research into extending In-Context Learning (ICL) to its multimodal counterpart.
no code implementations • 30 Jun 2023 • Wonjun Kang, Kevin Galim, Hyung Il Koo
In this paper, we propose a method to improve diffusion models to focus on producing the correct object count given the input prompt.
no code implementations • 26 May 2022 • Wonjun Kang, Geonsu Lee, Hyung Il Koo, Nam Ik Cho
The goal of face reenactment is to transfer a target expression and head pose to a source face while preserving the source identity.
1 code implementation • 12 Jun 2019 • Junho Jo, Hyung Il Koo, Jae Woong Soh, Nam Ik Cho
For training our network, we develop a cross-entropy based loss function that addresses the imbalance problems.