6 citations · 6 across the 8 of their papers we have counts for
9 papers
SEAL: Semantic-aware Single-image Sticker Personalization with a Large-scale Sticker-tag Dataset
Changhyun Roh, Yonghyun Jeong, Jonghyun Lee +2
Synthesizing a target concept from a single reference image is challenging in diffusion-based personalized text-to-image generation, particularly for sticker personalization where…
CHIMERA: Adaptive Cache Injection and Semantic Anchor Prompting for Zero-shot Image Morphing with Morphing-oriented Metrics
Dahyeon Kye, Jeahun Sung, Minkyu Jeon +1
Recent diffusion-based image morphing methods typically interpolate inverted latents and reuse limited conditioning signals, which often yields unstable intermediates for heterogen…
FRAMER: Frequency-Aligned Self-Distillation with Adaptive Modulation Leveraging Diffusion Priors for Real-World Image Super-Resolution
Seungho Choi, Jeahun Sung, Jihyong Oh
Real-image super-resolution (Real-ISR) seeks to recover HR images from LR inputs with mixed, unknown degradations. While diffusion models surpass GANs in perceptual quality, they u…
Leveraging Prior Knowledge of Diffusion Model for Person Search
Giyeol Kim, Sooyoung Yang, Jihyong Oh +2
Person search aims to jointly perform person detection and re-identification by localizing and identifying a query person within a gallery of uncropped scene images. Existing metho…
MoCHA-former: Moiré-Conditioned Hybrid Adaptive Transformer for Video Demoiréing
Jeahun Sung, Changhyun Roh, Chanho Eom +1
Recent advances in portable imaging have made camera-based screen capture ubiquitous. Unfortunately, frequency aliasing between the camera's color filter array (CFA) and the displa…
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…
R3eVision: A Survey on Robust Rendering, Restoration, and Enhancement for 3D Low-Level Vision
Weeyoung Kwon, Jeahun Sung, Minkyu Jeon +2
Neural rendering methods such as Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS) have achieved significant progress in photorealistic 3D scene reconstruction and nov…
Domain Generalization for Person Re-identification: A Survey Towards Domain-Agnostic Person Matching
Hyeonseo Lee, Juhyun Park, Jihyong Oh +1
Person Re-identification (ReID) aims to retrieve images of the same individual captured across non-overlapping camera views, making it a critical component of intelligent surveilla…
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…