Minho Park

According to our database, Minho Park authored at least 17 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

FlashSAC: Fast and Stable Off-Policy Reinforcement Learning for High-Dimensional Robot Control.

Donghu Kim, Youngdo Lee, Minho Park, Kinam Kim, I Made Aswin Nahendra, Takuma Seno, Sehee Min, Daniel Palenicek, Florian Vogt, Danica Kragic, Jan Peters, Jaegul Choo, Hojoon Lee

CoRR, April, 2026

Not the Example, but the Process: How Self-Generated Examples Enhance LLM Reasoning.

Daehoon Gwak, Minseo Jung, Junwoo Park, Minho Park, ChaeHun Park, Junha Hyung, Jaegul Choo

CoRR, February, 2026

SphereDiff: Tuning-free 360° Static and Dynamic Panorama Generation via Spherical Latent Representation.

Minho Park, Taewoong Kang, Jooyeol Yun, Sungwon Hwang, Jaegul Choo

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

EgoX: Egocentric Video Generation from a Single Exocentric Video.

Taewoong Kang, Kinam Kim, Dohyeon Kim, Minho Park, Junha Hyung, Jaegul Choo

CoRR, December, 2025

PHUMA: Physically-Grounded Humanoid Locomotion Dataset.

Kyungmin Lee, Sibeen Kim, Minho Park, Hyunseung Kim, Dongyoon Hwang, Hojoon Lee, Jaegul Choo

CoRR, October, 2025

ACG: Action Coherence Guidance for Flow-based VLA models.

Minho Park, Kinam Kim, Junha Hyung, Hyojin Jang, Hoiyeong Jin, Jooyeol Yun, Hojoon Lee, Jaegul Choo

CoRR, October, 2025

Cross-Frame Representation Alignment for Fine-Tuning Video Diffusion Models.

Sungwon Hwang, Hyojin Jang, Kinam Kim, Minho Park, Jaegul Choo

CoRR, June, 2025

SphereDiff: Tuning-free Omnidirectional Panoramic Image and Video Generation via Spherical Latent Representation.

Minho Park, Taewoong Kang, Jooyeol Yun, Sungwon Hwang, Jaegul Choo

CoRR, April, 2025

Concept-Aware LoRA for Domain-Aligned Segmentation Dataset Generation.

Minho Park, Sunghyun Park, Jungsoo Lee, Hyojin Park, Kyuwoong Hwang, Fatih Porikli, Jaegul Choo, Sungha Choi

CoRR, March, 2025

Reward-Weighted Sampling: Enhancing Non-Autoregressive Characteristics in Masked Diffusion LLMs.

Daehoon Gwak, Minseo Jung, Junwoo Park, Minho Park, ChaeHun Park, Junha Hyung, Jaegul Choo

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Regularized Training with Generated Datasets for Name-Only Transfer of Vision-Language Models.

Minho Park, Sunghyun Park, Jooyeol Yun, Jaegul Choo

CoRR, 2024

Forecasting Future International Events: A Reliable Dataset for Text-Based Event Modeling.

Daehoon Gwak, Junwoo Park, Minho Park, ChaeHun Park, Hyunchan Lee, Edward Choi, Jaegul Choo

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Stable VITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On.

Jeongho Kim, Gyojung Gu, Minho Park, Sunghyun Park, Jaegul Choo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On.

Jeongho Kim, Gyojung Gu, Minho Park, Sunghyun Park, Jaegul Choo

CoRR, 2023

iColoriT: Towards Propagating Local Hints to the Right Region in Interactive Colorization by Leveraging Vision Transformer.

Jooyeol Yun, Sanghyeon Lee, Minho Park, Jaegul Choo

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Learning to Generate Semantic Layouts for Higher Text-Image Correspondence in Text-to-Image Synthesis.

Minho Park, Jooyeol Yun, Seunghwan Choi, Jaegul Choo

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

iColoriT: Towards Propagating Local Hint to the Right Region in Interactive Colorization by Leveraging Vision Transformer.

Sanghyeon Lee, Jooyeol Yun, Minho Park, Jaegul Choo

CoRR, 2022