4 papers
Chameleon: Style-Content Disentangled Framework for Cross-Domain Object Compositing
Sukhun Ko, Soo Ye Kim, Jihyong Oh
Image compositing aims to seamlessly insert a foreground object into a background image, and recent advances in diffusion models have significantly enhanced the quality, especially…
FLAIR: Frequency- and Locality-Aware Implicit Neural Representations
Sukhun Ko, Seokhyun Youn, Dahyeon Kye +3
Implicit Neural Representations (INRs) leverage neural networks to map coordinates to corresponding signals, enabling continuous and compact representations. This paradigm has driv…
AceVFI: A Comprehensive Survey of Advances in Video Frame Interpolation
Dahyeon Kye, Changhyun Roh, Sukhun Ko +2
Video Frame Interpolation (VFI) is a core low-level vision task that synthesizes intermediate frames between existing ones while ensuring spatial and temporal coherence. Over the p…
NCAP: Scene Text Image Super-Resolution with Non-CAtegorical Prior
Dongwoo Park, Suk Pil Ko
Scene text image super-resolution (STISR) enhances the resolution and quality of low-resolution images. Unlike previous studies that treated scene text images as natural images, re…