• 🏆 SUCCESS-GS: Survey of Compactness and Compression for Efficient Static and Dynamic Gaussian Splatting

Seokhyun Youn*, Soohyun Lee*, Geonho Kim*, Weeyoung Kwon, Sung-Ho Bae† and Jihyong Oh†

[arXiv2025][Project Page][Awesome-Efficient-GS]

•  🚂 MoRel: Long-Range Flicker-Free 4D Motion Modeling via Anchor Relay-based Bidirectioanl Blending with Hierarchical Densification

Sangwoon Kwak*, Weeyoung Kwon*, Jun Young Jeong, Geonho Kim, Won-Sik Cheong, and Jihyong Oh†

[arXiv2025][Project Page]

• 🦁 CHIMERA: Adaptive Cache Injection and Semantic Anchor Prompting for Zero-shot Image Morphing with Morphing-oriented Metric

Dahyeon Kye*, Jeahun Sung*, Minkyu Jeon, and Jihyong Oh†

[arXiv2025][Project Page]

• 🖼️ FRAMER: Frequency-Aligned Self-Distillation with Adaptive Modulation Leveraging Diffusion Priors for Real-World Image Super-Resolution

Seungho Choi, Jeahun Sung, and Jihyong Oh†

[arXiv2025][Project Page]

• ✨ FLAIR: Frequency- and Locality-Aware Implicit Neural Representations

Sukhun Ko, SeokHyun Youn, Dahyeon Kye, Kyle Min, Chanho Eom, and Jihyong Oh†

[arXiv2025][Project Page]

• 🇰🇷 COREA: Coarse-to-Fine 3D Representation Alignment Between Relightable 3D Gaussians and SDF via Bidirectional 3D-to-3D Supervision

Jaeyoon Lee*, Hojoon Jung*, Seongtae Hwang, Jihyong Oh†, and Jongwon Choi†

[arXiv2025][Project Page]

• ✏️ Training-free Style Control and Style Fidelity Metric for Text-Image Manipulation

Agus Gunawan, Soo Ye Kim, Jihyong Oh†, and Munchurl Kim†

[coming soon]

• 🌱 EcoSplat: Efficiency-controllable Feed-forward 3D Gaussian Splatting from Multi-view Images

Minh-Quan Viet Bui*, Jongmin Park*, Juan Luis Gonzalez, Jaeho Moon, Jihyong Oh†, and Munchurl Kim†

[arXiv2025][Project Page]

• ֎ FMA-Net++: Motion- and Exposure-aware Joint Video Super-Resolution and Deblurring

Geunhyuk Youk, Jihyong Oh†, and Munchurl Kim† 

[arXiv2025][Project Page]

• 🖌 OmniText: A Unified Training-Free Framework for Controllable Text Image Manipulation

Agus Gunawan*, Samuel Teodoro*, Yun Chen, Soo Ye Kim, Jihyong Oh†, and Munchurl Kim†

[arXiv2025]

• 🧊 R3eVision: A Survey on Robust Rendering, Restoration, and Enhancement for 3D Low-Level Vision

Weeyoung Kwon, Jeahun Sung, Minkyu Jeon, Chanho Eom, and Jihyong Oh†

[arXiv2025][Awesome-3D-Low-Level-Vision]

• 🂡 AceVFI: A Comprehensive Survey of Advances in Video Frame Interpolation

Dahyeon Kye, Changhyun Roh, Sukhun Ko, Chanho Eom, and Jihyong Oh†

[arXiv2025][Awesome-Video-Frame-Interpolation]

• 🎯 PRIMEdit: Probability Redistribution for Instance-aware Multi-object Video Editing with Benchmark Dataset

Samuel Teodoro*, Agus Gunawan*, Soo Ye Kim, Jihyong Oh†, and Munchurl Kim†

[arXiv2025][Project Page]

• [J6]☕️ MoCHA-former: Moiré-Conditioned Hybrid Adaptive Transformer for Video Demoiréing

Jeahun Sung, Changhyun Roh, Chanho Eom, and Jihyong Oh†

Neurocomputing (IF=6.5)

vol. 669, 132477, March 07, 2026 (DOI: https://doi.org/10.1016/j.neucom.2025.132477)

[Neurocomputing][Project Page][GitHub]

• [C12]🕵🏻‍♂️ MoBGS: Motion Deblurring Dynamic 3D Gaussian Splatting for Blurry Monocular Video

Minh-Quan Viet Bui*, Jongmin Park*, Juan Luis Gonzalez Bello, Jaeho Moon, Jihyong Oh†, and Munchurl Kim† 

AAAI 2026 [AI Top-tier Conf.]

(Acceptance Rate: 17.6%  ≈ 4,167/23,680)

[arXiv2025][Project Page]

• [C11]♻️ I-INR: Iterative Implicit Neural Representations

Ali Haider*, Muhammad Salman Ali*, Maryam Qamar, Tahir Khalil, Soo Ye Kim, Jihyong Oh†, Enzo Tartaglione, and Sung-Ho Bae†

AAAI 2026 [AI Top-tier Conf.]

(Acceptance Rate: 17.6%  ≈ 4,167/23,680)

[arXiv2025]

• [J5]🌀 SoFoNO: Arbitrary-Scale Image Super-Resolution via Sobolev Fourier Neural Operator

Jong Kwon Oh*, Hwijae Son*, Hyung Ju Hwang, and Jihyong Oh† 

Neurocomputing (IF=6.5)

vol. 661, 14 January 2026, 131944 (DOI: https://doi.org/10.1016/j.neucom.2025.131944)

[Neurocomputing][Project Page][GitHub]

• [C10]🔍 DiffPS: Leveraging Prior Knowledge of Diffusion Model for Person Search

Giyeol Kim*, Sooyoung Yang*, Jihyong Oh, Myungjoo Kang, and Chanho Eom†

ICCV 2025 [AI Top-tier Conf.]

(🏅Highlight Paper Rate: 2.35% ≈ 263/11,152) 

[Project Page][GitHub]

• [J4]MoBluRF 🫨: Motion Deblurring Neural Radiance Fields for Blurry Monocular Video

Minh-Quan Viet Bui*, Jongmin Park*, Jihyong Oh†, and Munchurl Kim† 

IEEE TPAMI (IF=18.6)

vol. 47, issue 9, pp. 7752-7770, Sep. 2025 (DOI: 10.1109/TPAMI.2025.3574644)

[IEEE TPAMI][Project Page][Note: previous ver.: DyBluRF 🫨][GitHub]

• [J3]Domain Generalization for Person Re-identification 🫆: A Survey Towards Domain-Agnostic Person Matching

Hyunseo Lee, Juhyun Park, Jihyong Oh, and Chanho Eom†

Neurocomputing (IF=6.5)

vol. 649, no. 10, pp. 130763-130782, Oct. 07, 2025 (DOI: https://doi.org/10.1016/j.neucom.2025.130763)

[Neurocomputing][Awesome-Domain-Generalizable-Person-Re-identification]

• [C9]∿ 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†

CVPR 2025 [AI Top-tier Conf.]

(Acceptance Rate: 22.1% ≈ 2,878/13,008)

[arXiv2024][Project Page][GitHub]

• [C8]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†

CVPR 2025 [AI Top-tier Conf.]

(Acceptance Rate: 22.1% ≈ 2,878/13,008)

[arXiv2025][Project Page][GitHub]

• [C7]⏱️ BiM-VFI: Bidirectional Motion Field-Guided Frame Interpolation for Video with Non-uniform Motions

Wonyong Seo, Jihyong Oh†, and Munchurl Kim†

CVPR 2025 [AI Top-tier Conf.]

(Acceptance Rate: 22.1% ≈ 2,878/13,008) 

[arXiv2024][Project Page][GitHub]

• [C6]🍎 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† 

CVPR 2024 [AI Top-tier Conf.]

(🏅Oral Paper Rate: 0.78% ≈ 90/11532, Acceptance Rate: 23.6% ≈ 2,719/11,532)

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

• [C5]DeMFI: Deep Joint Deblurring and Multi-Frame Interpolation with Flow-Guided Attentive Correlation and Recursive Boosting

Jihyong Oh and Munchurl Kim†

ECCV 2022 [AI Top-tier Conf.] 

(Acceptance Rate: 28%  ≈ 1,650/5,803 ) 

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

• [C4]XVFI: eXtreme Video Frame Interpolation

Hyeonjun Sim*, Jihyong Oh*, and Munchurl Kim†

ICCV 2021 [AI Top-tier Conf.]

(🏅Oral Paper Rate: 3%, Acceptance Rate: 25.9% ≈ 1,617/6,236)

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

• [J2]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)

[Remote Sensing]

• [J1]SPAM-Net: A CNN-based SAR Target Recognition Network with Pose Angle Marginalization Learning 

Jihyong Oh*, Gwang-Young Youm*, and Munchurl Kim†

IEEE TCSVT (IF=8.4)

vol. 31, issue 2, pp. 701-714, Feb. 2021. (DOI: 10.1109/TCSVT.2020.2987346)

[Paper][IEEE TCSVT]

• [C3]FISR: Deep Joint Frame Interpolation and Super-Resolution with a Multi-Scale Temporal Loss

Soo Ye Kim*, Jihyong Oh*, and Munchurl Kim†

AAAI 2020 [AI Top-tier Conf.]

(Acceptance Rate: 20.6%  ≈ 1,591/7,737 ) 

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

• [C2]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 2020 [AI Top-tier Conf.]

(Acceptance Rate: 20.6%  ≈ 1,591/7,737 ) 

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

• [C1] 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†

ICCV 2019 [AI Top-tier Conf.] 

(🏅Oral Paper Rate: 4 %, Acceptance Rate: 25% ≈ 1,077/4,303)

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