Image Processing Algorithm Lab (IPA)
Image Processing Algorithm Lab (IPA)
Korea University · Electrical Engineering
Professor
Prof. 진경환
Professor's page · publicationsAbout
진경환 교수 연구실(Image Processing Algorithm Lab, IPA)은 고려대 전기전자공학부 소속으로, 딥러닝을 활용한 영상·신호처리 알고리즘과 역문제(inverse problem)를 연구한다. 디퓨전 모델, 초해상도(super-resolution), 생성모델 등을 다룬다.
Research keywords
Recent papers
From OpenAlex · papers whose author affiliation matches this university
Selected publications
- A noise is worth diffusion guidanceInternational Conference on Learning Representations (ICLR) · 2026
- Towards Lossless Implicit Neural Representation via Bit Plane DecompositionIEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 2025
- Machine learning-based high-frequency neuronal spike reconstruction from low-frequency and low-sampling-rate recordingsNature Communications · 2024
- JDEC: JPEG Decoding via Enhanced Continuous Cosine CoefficientsIEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 2024
- Self-Rectifying Diffusion Sampling with Perturbed-Attention GuidanceEuropean Conference on Computer Vision (ECCV) · 2024
- Local Texture Estimator for Implicit Representation FunctionIEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 2022
Labs doing related research
Labs that recently published on topics this lab's recent papers share
Shared topic: Machine Learning in Materials Science
Materials Theory Group
Yonsei University · Materials Science and Engineering
Building a Physics-Aware AI Ecosystem for Solid-State Hydrogen Storage MaterialsACS Energy Letters · Aug 14Biochemical Engineering Lab
KAIST · Chemical and Biomolecular Engineering
Workflow design as a research variable in computational materials discoveryPreprintChemRxiv · Aug 31Multiscale Mechanics Lab
KAIST · Mechanical Engineering
A comprehensive review of thermoelectric power generators: Advances in material discovery, structural optimization for performance enhancement, and service life stabilityNewRenewable and Sustainable Energy Reviews · Sep 11
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