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20232026
most citedPUCA: Patch-Unshuffle and Channel Attention for Enhanced Self-Supervised Image Denoising

7 citations · 8 across the 8 of their papers we have counts for

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6 papers · 1 filter

cs.CV2026

FoMo: Forking Moment in Generative Trajectory as a Perceptual Distance

Jaihyun Lew, Mingi Jung, Minjun Park +2

Reference-based image quality assessment (IQA) metrics aim to reflect how humans perceive the perceptual distance between a pair of images. To learn how the human visual system (HV…

cs.CV2026

Diagnosing and Correcting Concept Omission in Multimodal Diffusion Transformers

Kanghyun Baek, Jaihyun Lew, Chaehun Shin +2

Multimodal Diffusion Transformers (MM-DiTs) have achieved remarkable progress in text-to-image generation, yet they frequently suffer from concept omission, where specified objects…

cs.CV2026

HeSS: Head Sensitivity Score for Sparsity Redistribution in VGGT

Yongsung Kim, Wooseok Song, Jaihyun Lew +3

Visual Geometry Grounded Transformer (VGGT) has advanced 3D vision, yet its global attention layers suffer from quadratic computational costs that hinder scalability. Several spars…

cs.CV2024

Superpixel Tokenization for Vision Transformers: Preserving Semantic Integrity in Visual Tokens

Jaihyun Lew, Soohyuk Jang, Jaehoon Lee +6

Transformers, a groundbreaking architecture proposed for Natural Language Processing (NLP), have also achieved remarkable success in Computer Vision. A cornerstone of their success…

cs.CV2024★ 1 cited

Unsupervised Homography Estimation on Multimodal Image Pair via Alternating Optimization

Sanghyeob Song, Jaihyun Lew, Hyemi Jang +1

Estimating the homography between two images is crucial for mid- or high-level vision tasks, such as image stitching and fusion. However, using supervised learning methods is often…

cs.CV2024

Disentangled Motion Modeling for Video Frame Interpolation

Jaihyun Lew, Jooyoung Choi, Chaehun Shin +2

Video Frame Interpolation (VFI) aims to synthesize intermediate frames between existing frames to enhance visual smoothness and quality. Beyond the conventional methods based on th…