Zobrazeno 1 - 10
of 492
pro vyhledávání: '"Kim, KiHong"'
Autor:
Kim, Seulong, Kim, Kihong
Wave propagation in time-varying media has attracted significant attention for its innovative potential to control wave-matter interactions and to develop versatile active materials. While most research has focused on electromagnetic waves, studies o
Externí odkaz:
http://arxiv.org/abs/2411.09208
Autor:
Nguyen, Ba Phi, Kim, Kihong
Publikováno v:
Physica D 469, 134342 (2024)
We conduct a numerical investigation into wave propagation and localization in one-dimensional lattices subject to nonlinear disorder, focusing on cases with fixed input conditions. Utilizing a discrete nonlinear Schr\"odinger equation with Kerr-type
Externí odkaz:
http://arxiv.org/abs/2408.09339
Wavetable synthesis generates quasi-periodic waveforms of musical tones by interpolating a list of waveforms called wavetable. As generative models that utilize latent representations offer various methods in waveform generation for musical applicati
Externí odkaz:
http://arxiv.org/abs/2407.19862
Autor:
Kim, Seulong, Kim, Kihong
Publikováno v:
Results in Physics 62, 107820 (2024)
We theoretically investigate the scaling behavior of the localization length for $s$-polarized electromagnetic waves incident at a critical angle on stratified random media with short-range correlated disorder. By employing the invariant embedding me
Externí odkaz:
http://arxiv.org/abs/2406.08156
Conventional GAN-based models for talking head generation often suffer from limited quality and unstable training. Recent approaches based on diffusion models aimed to address these limitations and improve fidelity. However, they still face challenge
Externí odkaz:
http://arxiv.org/abs/2403.19144
Autor:
Oh, Hyungjun, Kim, Kihong, Kim, Jaemin, Kim, Sungkyun, Lee, Junyeol, Chang, Du-seong, Seo, Jiwon
Publikováno v:
29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems(ASPLOS 24 summer cycle), Volume 2, Nov 15, 2023 (Notification Date)
This paper presents ExeGPT, a distributed system designed for constraint-aware LLM inference. ExeGPT finds and runs with an optimal execution schedule to maximize inference throughput while satisfying a given latency constraint. By leveraging the dis
Externí odkaz:
http://arxiv.org/abs/2404.07947
Autor:
Kim, Kihong, Lee, Haneol, Park, Jihye, Kim, Seyeon, Lee, Kwanghee, Kim, Seungryong, Yoo, Jaejun
Generating high-quality videos that synthesize desired realistic content is a challenging task due to their intricate high-dimensionality and complexity of videos. Several recent diffusion-based methods have shown comparable performance by compressin
Externí odkaz:
http://arxiv.org/abs/2402.13729
Autor:
Kim, Seulong, Kim, Kihong
Publikováno v:
Physical Review Research 5, 023162 (2023)
We investigate the influence of the temporal variations of various medium parameters on the propagation of Dirac-type waves in materials where the quasiparticles are described by a generalized version of the pseudospin-1/2 Dirac equation. Our conside
Externí odkaz:
http://arxiv.org/abs/2303.13741
Autor:
Nguyen, Ba Phi, Kim, Kihong
Publikováno v:
Journal of Physics A: Mathematical and Theoretical 56, 475701 (2023)
We present a numerical study of the transport and localization properties of excitations in one-dimensional lattices with diagonal disordered mosaic modulations. The model is characterized by the modulation period $\kappa$ and the disorder strength $
Externí odkaz:
http://arxiv.org/abs/2303.13736
Autor:
Kim, Kihong, Kim, Yunho, Cho, Seokju, Seo, Junyoung, Nam, Jisu, Lee, Kychul, Kim, Seungryong, Lee, KwangHee
In this paper, we propose a diffusion-based face swapping framework for the first time, called DiffFace, composed of training ID conditional DDPM, sampling with facial guidance, and a target-preserving blending. In specific, in the training process,
Externí odkaz:
http://arxiv.org/abs/2212.13344