Gwanhyeong Koo

According to our database, Gwanhyeong Koo authored at least 14 papers between 2023 and 2026.

Collaborative distances:

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

2026

PDCR: Perception-Decomposed Confidence Reward for Vision-Language Reasoning.

Hee Suk Yoon, Eunseop Yoon, Ji Woo Hong, SooHwan Eom, Gwanhyeong Koo, Mark Hasegawa-Johnson, Qi Dai, Chong Luo, Chang D. Yoo

CoRR, May, 2026

High-Fidelity Text-to-Image Generation from Pre-Trained Vision-Language Models via Distribution-Conditioned Diffusion Decoding.

Ji Woo Hong, Hee Suk Yoon, Gwanhyeong Koo, Eunseop Yoon, SooHwan Eom, Qi Dai, Chong Luo, Chang D. Yoo

CoRR, March, 2026

2025

FlowDrag: 3D-aware Drag-based Image Editing with Mesh-guided Deformation Vector Flow Fields.

Gwanhyeong Koo, Sunjae Yoon, Younghwan Lee, Ji Woo Hong, Chang D. Yoo

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Occlusion-Robust Stylization for Drawing-Based 3D Animation.

Sunjae Yoon, Gwanhyeong Koo, Younghwan Lee, Ji Woo Hong, Chang D. Yoo

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

ITA-MDT: Image-Timestep-Adaptive Masked Diffusion Transformer Framework for Image-Based Virtual Try-On.

Ji Woo Hong, Tri Ton, Trung X. Pham, Gwanhyeong Koo, Sunjae Yoon, Chang D. Yoo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Causal Localization Network for Radar Human Localization With Micro-Doppler Signature.

Sunjae Yoon, Gwanhyeong Koo, Jun Yeop Shim, SooHwan Eom, Ji Woo Hong, Chang D. Yoo

IEEE Access, 2024

TPC: Test-time Procrustes Calibration for Diffusion-based Human Image Animation.

Sunjae Yoon, Gwanhyeong Koo, Younghwan Lee, Chang Dong Yoo

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

FRAG: Frequency Adapting Group for Diffusion Video Editing.

Sunjae Yoon, Gwanhyeong Koo, Geonwoo Kim, Chang D. Yoo

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Wavelet-Guided Acceleration of Text Inversion in Diffusion-Based Image Editing.

Gwanhyeong Koo, Sunjae Yoon, Chang D. Yoo

Proceedings of the IEEE International Conference on Acoustics, 2024

Query-based Cross-Modal Projector Bolstering Mamba Multimodal LLM.

SooHwan Eom, Jay Shim, Gwanhyeong Koo, Haebin Na, Mark Hasegawa-Johnson, Sungwoong Kim, Chang Dong Yoo

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

DNI: Dilutional Noise Initialization for Diffusion Video Editing.

Sunjae Yoon, Gwanhyeong Koo, Ji Woo Hong, Chang D. Yoo

Proceedings of the Computer Vision - ECCV 2024, 2024

FlexiEdit: Frequency-Aware Latent Refinement for Enhanced Non-rigid Editing.

Gwanhyeong Koo, Sunjae Yoon, Ji Woo Hong, Chang D. Yoo

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Neutral Editing Framework for Diffusion-based Video Editing.

Sunjae Yoon, Gwanhyeong Koo, Ji Woo Hong, Chang D. Yoo

CoRR, 2023

SCANet: Scene Complexity Aware Network for Weakly-Supervised Video Moment Retrieval.

Sunjae Yoon, Gwanhyeong Koo, Dahyun Kim, Chang D. Yoo

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