← Search

Youngjin Oh

2 accepted papers

2026

DARKVRAI: CAPTURE-CONDITION CONDITIONING AND BURST-ORDER SELECTIVE SCAN FOR LOW-LIGHT RAW VIDEO DENOISING

ICASSP 2026poster

Low-light RAW video denoising is a fundamentally challenging task due to severe signal degradation caused by high sensor gain and short exposure times, which are inherently limited by video frame rate requirements. To address this, we propose DarkVRAI, a novel framework that achieved first place in…

Cited by 0SourcePDFScholar
2026

TM-BSN: Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image Denoising

CVPR 2026

Blind-spot networks (BSNs) enable self-supervised image denoising by preventing access to the target pixel, allowing clean signal estimation without ground-truth supervision. However, this approach assumes pixel-wise noise independence, which is violated in real-world sRGB images due to spatially co

Cited by 0SourcecodeScholar