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MoBluRF 🫨: Motion Deblurring Neural Radiance Fields for Blurry Monocular Video
Minh-Quan Viet Bui*, Jongmin Park*, Jihyong Oh†, and Munchurl Kim†
IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI) (IF=20.8)
Early Access 2025 (DOI: 10.1109/TPAMI.2025.3574644)
[IEEE TPAMI][Project Page][Note: previous ver.: DyBluRF 🫨 ]
Domain Generalization for Person Re-identification : A Survey Towards Domain-Agnostic Person Matching
Hyunseo Lee, Juhyun Park, Jihyong Oh, and Chanho Eom†
Neurocomputing (IF=5.5)
Accepted 2025
[coming soon]
🂡 AceVFI: A Comprehensive Survey of Advances in Video Frame Interpolation
Dahyeon Kye, Changhyun Roh, Sukhun Ko, Chanho Eom, and Jihyong Oh†
(under review) arXiv 2025.
🌀 SoFoNO: Mitigating Spectral Bias in Arbitrary-Scale Image Super-Resolution via Sobolev Fourier Neural Operator
Jong Kwon Oh*, Hwijae Son*, Hyung Ju Hwang, and Jihyong Oh†
(under review)
[coming soon]
∿ SplineGS: Robust Motion-Adaptive Spline for Real-Time Dynamic 3D Gaussians from Monocular Video
Jongmin Park*, Minh-Quan Viet Bui*, Juan Luis Gonzalez Bello, Jaeho Moon, Jihyong Oh†, and Munchurl Kim†
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025. [AI Top-tier Conf.]
(Acceptance Rate: 22.1% ≈ 2878/13,008)
MoDec🎄-GS: Global-to-Local Motion Decomposition and Temporal Interval Adjustment for Compact Dynamic 3D Gaussian Splatting
Sangwoon Kwak, Joonsoo Kim, Jun Young Jeong, Won-Sik Cheong, Jihyong Oh†, and Munchurl Kim†
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025. [AI Top-tier Conf.]
(Acceptance Rate: 22.1% ≈ 2878/13,008)
🍎 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†
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024. Oral Presentation. [AI Top-tier Conf.]
(🏅Oral Paper Rate: 0.78% ≈ 90/11532, Acceptance Rate: 23.6% ≈ 2719/11532)
DeMFI: Deep Joint Deblurring and Multi-Frame Interpolation with Flow-Guided Attentive Correlation and Recursive Boosting
Jihyong Oh and Munchurl Kim†
European Conference on Computer Vision (ECCV), 2022. [AI Top-tier Conf.]
(Acceptance Rate: 28% ≈ 1650/5803 )
XVFI: eXtreme Video Frame Interpolation
Hyeonjun Sim*, Jihyong Oh*, and Munchurl Kim†
IEEE/CVF International Conference on Computer Vision (ICCV), 2021, Oral Presentation. [AI Top-tier Conf.]
(🏅Oral Paper Rate: 3%, Acceptance Rate: 25.9% ≈ 1617/6236)
[arXiv][ICCV2021][Supp][GitHub][X4K1000FPS][Demo][Oral12mins] [Flowframes(GUI)][Poster]
PeaceGAN: A GAN-based Multi-Task Learning Method for SAR Target Image Generation with a Pose Estimator and an Auxiliary Classifier
Jihyong Oh and Munchurl Kim†
Remote Sensing (IF=5.0)
vol. 13, issue 19: 3939, Oct. 2021 (DOI: https://doi.org/10.3390/rs13193939)
SPAM-Net: A CNN-based SAR Target Recognition Network with Pose Angle Marginalization Learning
Jihyong Oh*, Gwang-Young Youm*, and Munchurl Kim†
IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT) (IF=8.4)
vol. 31, issue 2, pp. 701-714, Feb. 2021. (DOI: 10.1109/TCSVT.2020.2987346)
[Paper][IEEE TCSVT]
FISR: Deep Joint Frame Interpolation and Super-Resolution with a Multi-Scale Temporal Loss
Soo Ye Kim*, Jihyong Oh*, and Munchurl Kim†
AAAI Conference on Artificial Intelligence (AAAI), 2020. [AI Top-tier Conf.]
(Acceptance Rate: 20.6% ≈ 1591/7737 )
[Paper][GitHub][Poster][Spotlight-PPT]
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†
AAAI Conference on Artificial Intelligence (AAAI), 2020. [AI Top-tier Conf.]
(Acceptance Rate: 20.6% ≈ 1591/7737 )
[Paper][GitHub][Poster][Spotlight-PPT]
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†
IEEE/CVF International Conference on Computer Vision (ICCV), 2019, Oral Presentation. [AI Top-tier Conf.]
(🏅Oral Paper Rate: 4 %, Acceptance Rate: 25% ≈ 1077/4303)
Demestic Publications (South Korea)
Demestic Publications (South Korea)
Dahyeon Kye*, Jaeho Choi*, Sukhun Ko, Weeyoung Kwon, Changhyun Roh, Jaehun Seong, Heeyoung Cho†, and Jihyong Oh†, "AI-Based Short-Form Animation Generation Utilizing Greek Mythological Hero’s Journey", Summer Annual Conference of IEIE (대한전자공학회 하계학술대회), 2025.
Hyunseo Lee, Changhyun Roh, Jihyong Oh, and Chanho Eom†, "Enhancing Motion Fluidity and Visual Consistency in Film Production with AI Generative Models", Moving Image and Technology (MINT), 2025.
Dahyeon Kye, Jeahun Sung, Chanho Eom, and Jihyong Oh†, “Subjective Evaluation on Generative Models for Mosaic Media Art ", Moving Image & Technology (MINT), 2024. [link]
Jeahun Sung, Chanho Eom, and Jihyong Oh†, “State of the Art on Demoiréing Models", Journal of Arts and Imaging Science (TechArt), 2025. [link]
Jihyong Oh and Munchurl Kim†, “SAR Image Generation based on GAN with an Auxiliary Classifier", 2018 한국군사과학기술학회 (KIMST) 창립 20주년 종합학술대회.
Gwang-Young Youm, Jihyong Oh, and Munchurl Kim†, “A Deep Convolution Network for Fast SAR Automatic Target Detection and Recognition", 2018 한국군사과학기술학회 (KIMST) 창립 20주년 종합학술대회.
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