Mingi Kwon

26 papers A* 5A 1Journal 16Unranked 4
YearRankTypeTitle / Venue / Authors
2025 — conf
AlphaFold3 Workload Characterization: A Comprehensive Analysis of Bottlenecks and Performance Scaling.
IISWC
Jinpyo Kim, Mingi Kwon, Jishen Zhao
2025 J jnl
Balanced conic rectified flow.
CoRR
Shin seong Kim, Mingi Kwon, Jaeseok Jeong, Youngjung Uh
2025 J jnl
FlowBlending: Stage-Aware Multi-Model Sampling for Fast and High-Fidelity Video Generation.
CoRR
Jibin Song, Mingi Kwon, Jaeseok Jeong, Youngjung Uh
2025 J jnl
JAM-Flow: Joint Audio-Motion Synthesis with Flow Matching.
CoRR
Mingi Kwon, Joonghyuk Shin, Jaeseok Jung, Jaesik Park, Youngjung Uh
2025 J jnl
Syncphony: Synchronized Audio-to-Video Generation with Diffusion Transformers.
CoRR
Jibin Song, Mingi Kwon, Jaeseok Jeong, Youngjung Uh
2025 A* conf
TCFG: Tangential Damping Classifier-free Guidance.
CVPR
Mingi Kwon, Shin seong Kim, Jaeseok Jeong, Yi Ting Hsiao, Youngjung Uh
2025 J jnl
TCFG: Tangential Damping Classifier-free Guidance.
CoRR
Mingi Kwon, Shin seong Kim, Jaeseok Jeong, Yi Ting Hsiao, Youngjung Uh
2025 J jnl
TTS-CtrlNet: Time varying emotion aligned text-to-speech generation with ControlNet.
CoRR
Jaeseok Jeong, Yuna Lee, Mingi Kwon, Youngjung Uh
2024 A* conf
Attribute Based Interpretable Evaluation Metrics for Generative Models.
ICML
Dongkyun Kim, Mingi Kwon, Youngjung Uh
2024 J jnl
Circuit-centric Genetic Algorithm (CGA) for Analog and Radio-Frequency Circuit Optimization.
CoRR
Mingi Kwon, Yeonjun Lee, Ickhyun Song
2024 — conf
Customize-A-Video: One-Shot Motion Customization of Text-to-Video Diffusion Models.
ECCV (89)
Yixuan Ren, Yang Zhou, Jimei Yang, Jing Shi, Difan Liu, Feng Liu, Mingi Kwon, Abhinav Shrivastava
2024 J jnl
Customize-A-Video: One-Shot Motion Customization of Text-to-Video Diffusion Models.
CoRR
Yixuan Ren, Yang Zhou, Jimei Yang, Jing Shi, Difan Liu, Feng Liu, Mingi Kwon, Abhinav Shrivastava
2024 — conf
HARIVO: Harnessing Text-to-Image Models for Video Generation.
ECCV (53)
Mingi Kwon, Seoung Wug Oh, Yang Zhou, Difan Liu, Joon-Young Lee, Haoran Cai, Baqiao Liu, Feng Liu, Youngjung Uh
2024 J jnl
HARIVO: Harnessing Text-to-Image Models for Video Generation.
CoRR
Mingi Kwon, Seoung Wug Oh, Yang Zhou, Difan Liu, Joon-Young Lee, Haoran Cai, Baqiao Liu, Feng Liu, Youngjung Uh
2024 A* conf
Plug-and-Play Diffusion Distillation.
CVPR
Yi-Ting Hsiao, Siavash Khodadadeh, Kevin Duarte, Wei-An Lin, Hui Qu, Mingi Kwon, Ratheesh Kalarot
2024 J jnl
Plug-and-Play Diffusion Distillation.
CoRR
Yi-Ting Hsiao, Siavash Khodadadeh, Kevin Duarte, Wei-An Lin, Hui Qu, Mingi Kwon, Ratheesh Kalarot
2024 A conf
Training-free Content Injection using h-space in Diffusion Models.
WACV
Jaeseok Jeong, Mingi Kwon, Youngjung Uh
2023 J jnl
Attribute Based Interpretable Evaluation Metrics for Generative Models.
CoRR
Dongkyun Kim, Mingi Kwon, Youngjung Uh
2023 A* conf
Diffusion Models Already Have A Semantic Latent Space.
ICLR
Mingi Kwon, Jaeseok Jeong, Youngjung Uh
2023 J jnl
Training-free Style Transfer Emerges from h-space in Diffusion models.
CoRR
Jaeseok Jeong, Mingi Kwon, Youngjung Uh
2023 A* conf
Understanding the Latent Space of Diffusion Models through the Lens of Riemannian Geometry.
NeurIPS
Yong-Hyun Park, Mingi Kwon, Jaewoong Choi, Junghyo Jo, Youngjung Uh
2023 J jnl
Understanding the Latent Space of Diffusion Models through the Lens of Riemannian Geometry.
CoRR
Yong-Hyun Park, Mingi Kwon, Jaewoong Choi, Junghyo Jo, Youngjung Uh
2023 J jnl
Unsupervised Discovery of Semantic Latent Directions in Diffusion Models.
CoRR
Yong-Hyun Park, Mingi Kwon, Junghyo Jo, Youngjung Uh
2022 J jnl
Diffusion Models already have a Semantic Latent Space.
CoRR
Mingi Kwon, Jaeseok Jeong, Youngjung Uh
2022 — conf
FurryGAN: High Quality Foreground-Aware Image Synthesis.
ECCV (14)
Jeongmin Bae, Mingi Kwon, Youngjung Uh
2022 J jnl
FurryGAN: High Quality Foreground-aware Image Synthesis.
CoRR
Jeongmin Bae, Mingi Kwon, Youngjung Uh