CMLab@CAU

Welcome to Creative Vision and Multimedia Lab (CMLab) @ Chung-Ang University (CAU)!

CMLab has been directed by Assistant Prof. Jihyong Oh since Fall 2023.
Our mission is to conduct cutting-edge research in AI-based Computer Vision and Multimedia, with a focus on machine & deep learning techniques. We are dedicated to exploring innovative solutions that can be applied to real-world problems.
We are looking for self-motivated graduate & undergraduate students. If you're interested, send an email to [jihyongoh@cau.ac.kr] with the following information:

(1) full Curriculum Vitae (CV), (2) transcript (3) future plan & purpose, and (4) available participation time.

If you are interested in joining our CMLab and would like to prepare the prerequisites, please refer to the [Contact] page for more information.

Research Area

--> But, not limited to!

News [mm.dd.yyyy]

[04.05.2024] Our 🍎 FMA-Net (Final Review Scores: 5/5/4) has been selected as an 🏅Oral Paper (0.78% ≈ 90/11532), which will be a huge honor to be presented in front of an audience of thousands of people.
[02.27.2024] One paper (🍎 FMA-Net) has been accepted to CVPR2024.
[02.01.2024] Prof. Oh gave a presentation on the topic of "Handling Real-World Videos in Computer Vision Tasks" at the IPIU2024 Young Researcher session.
[01.09.2024] Our new paper on Joint Video Super-Resolution and Deblurring (🍎 FMA-Net) has been released on arXiv. Check out our project page.
[12.21.2023] Our new paper on Dynamic Deblurring NeRF (DyBluRF🫨) has been released on arXiv. Check out our project page.
[11.02.2023] Dahyeon Kye, Giyeol Kim, Changhyun Roh, Jeahun Sung and Hyunseo Lee will be joining our lab in the spring of 2024 as MS students. Welcome!
[10.26.2023] We introduced CMLab at GSAIM @ CAU's Open Lab 2023 event. Here is our presentation pdf slide.
[09.01.2023] CMLab has been newly opened by Assistant Prof. Jihyong Oh.

[arXiv2024 (under review)] "DyBluRF 🫨: Dynamic Deblurring Neural Radiance Fields for Blurry Monocular Video", Minh-Quan Viet Bui*, Jongmin Park*, Jihyong Oh☨ and Munchurl Kim☨ (*equal contribution, ☨co-corresponding authors)

[arXiv2024] [Project Page] [GitHub (will be updated)] [Demo] [Video7mins]

[CVPR2024, 🏅Oral 0.78%] "🍎 FMA-Net: Flow-Guided Dynamic Filtering and Iterative Feature Refinement with Multi-Attention for Joint Video Super-Resolution and Deblurring", Geunhyuk Youk, Jihyong Oh☨ and Munchurl Kim☨. (☨co-corresponding authors)

[arXiv2024] [Project Page] [GitHub] [Demo] [Video6mins]

[ECCV2022] "DeMFI: Deep Joint Deblurring and Multi-Frame Interpolation with Flow-Guided Attentive Correlation and Recursive Boosting", Jihyong Oh and Munchurl Kim.

[ECCV2022] [Supp] [GitHub] [Demo] [Poster] [Video5mins]

[ICCV2021, 🏅Oral 3%] "XVFI: eXtreme Video Frame Interpolation",

Hyeonjun Sim*, Jihyong Oh* and Munchurl Kim (*equal contribution).

[arXiv] [ICCV2021] [Supp] [GitHub] [X4K1000FPS] [Demo] [Oral12mins] [Flowframes(GUI)] [Poster]

[ICCV2019, 🏅Oral 4%] "Deep SR-ITM: Joint Learning of Super-Resolution and Inverse Tone-Mapping for 4K UHD HDR Applications", Soo Ye Kim, Jihyong Oh and Munchurl Kim.

[Paper] [GitHub] [Poster] [Oral-PPT]

[AAAI2020] "FISR: Deep Joint Frame Interpolation and Super-Resolution with a Multi-Scale Temporal Loss" Soo Ye Kim*, Jihyong Oh* and Munchurl Kim (*equal contribution).

[Paper] [GitHub] [Poster] [Spotlight-PPT]

[AAAI2020] "JSI-GAN: GAN-Based Joint Super-Resolution and Inverse Tone-Mapping with Pixel-Wise Task-Specific Filters for UHD HDR Video" Soo Ye Kim*, Jihyong Oh* and Munchurl Kim (*equal contribution).

[Paper] [GitHub] [Poster] [Spotlight-PPT]