no code implementations • 30 Nov 2023 • Hyelin Nam, Gihyun Kwon, Geon Yeong Park, Jong Chul Ye
A promising recent approach in this realm is Delta Denoising Score (DDS) - an image editing technique based on Score Distillation Sampling (SDS) framework that leverages the rich generative prior of text-to-image diffusion models.
no code implementations • 20 Sep 2023 • Hyelin Nam, Jihong Park, Jinho Choi, Mehdi Bennis, Seong-Lyun Kim
By integrating recent advances in large language models (LLMs) and generative models into the emerging semantic communication (SC) paradigm, in this article we put forward to a novel framework of language-oriented semantic communication (LSC).
no code implementations • 8 Sep 2023 • Hyelin Nam, Jihong Park, Jinho Choi, Seong-Lyun Kim
Our work is expected to pave a new road of utilizing state-of-the-art generative models to real communication systems
no code implementations • 28 Oct 2022 • Seungeun Oh, Jihong Park, Sihun Baek, Hyelin Nam, Praneeth Vepakomma, Ramesh Raskar, Mehdi Bennis, Seong-Lyun Kim
Split learning (SL) detours this by communicating smashed data at a cut-layer, yet suffers from data privacy leakage and large communication costs caused by high similarity between ViT' s smashed data and input data.
no code implementations • 17 Jun 2022 • Chaeyeon Chung, Taewoo Kim, Hyelin Nam, Seunghwan Choi, Gyojung Gu, Sunghyun Park, Jaegul Choo
Hairstyle transfer is the task of modifying a source hairstyle to a target one.