5 papers
Rethinking Garment Conditioning in Diffusion-based Virtual Try-On: Decouple, Don't Denoise
Kihyun Na, Jinyoung Choi, Injung Kim
Virtual Try-On (VTON) synthesizes realistic images of a person wearing a target garment, with broad applications in e-commerce and fashion. Diffusion-based dual-UNet methods achiev…
CharDiff-LP: A Diffusion Model with Character-Level Guidance for License Plate Image Restoration
Kihyun Na, Gyuhwan Park, Injung Kim
License plate image restoration is important not only as a preprocessing step for license plate recognition but also for enhancing evidential value, improving visual clarity, and e…
BERT-APC: A Reference-free Framework for Automatic Pitch Correction via Musical Context Inference
Sungjae Kim, Kihyun Na, Jinyoung Choi +1
Automatic Pitch Correction (APC) enhances vocal recordings by aligning pitch deviations with intended musical notes. However, existing APC systems either rely on reference pitches,…
ICPR 2026 Competition on Low-Resolution License Plate Recognition
Rayson Laroca, Valfride Nascimento, Donggun Kim +19
Low-Resolution License Plate Recognition (LRLPR) remains a challenging problem in real-world surveillance scenarios, where long capture distances, compression artifacts, and advers…
MF-LPR: Multi-Frame License Plate Image Restoration and Recognition using Optical Flow
Kihyun Na, Junseok Oh, Youngkwan Cho +4
License plate recognition (LPR) is important for traffic law enforcement, crime investigation, and surveillance. However, license plate areas in dash cam images often suffer from l…