• 🦁 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†

🤝PrincetonUniv.[arXiv2025][Project Page][GitHub]

• 🔌 Self-Geometry: GT-Free and Plug-and-Play Test-Time Adaptation for Geometrically Consistent 3D Vision Foundation Models

Seokhyun Youn, Dahyeon Kye, Sung-Ho Bae†, and Jihyong Oh†

🤝KyungheeUniv.[arXiv2026][Project Page]

• 🫠 DiTTo: Scalable Order-aware All-in-One Image Restoration Agent

Seungho Choi, and Jihyong Oh†

[arXiv2026][Project Page]

• 🦎 Chameleon: Style-Content Disentangled Framework for Cross-Domain Object Compositing

Sukhun Ko, Soo Ye Kim† and Jihyong Oh†

🤝AdobeResearch[arXiv2026][Project Page]

• 🪄 RefGC-SR²: Reference-guided Super-Resolution and Refinement of AI Generated Content

Jeahun Sung*, Dahyeon Kye*, Soo Ye Kim† and Jihyong Oh†

🤝AdobeResearch[arXiv2026][Project_Page]

•  🦦 SEAL : Semantic-aware Single-image Sticker Personalization with a Large-scale Sticker-tag Dataset

Changhyun Roh, Yonghyun Jeong, Jonghyun Lee, Chanho Eom† and Jihyong Oh†

🤝Naver Cloud,Lunit Inc.[arXiv2026][Project Page]

• 🏆 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†

🤝KyungheeUniv.[arXiv2025][Project Page][Awesome-Efficient-GS]

• 🇰🇷 COREA: Coupled Relightable 3D Gaussians and SDFs for Efficient Normal Alignment

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

🤝RAZER,KAIST[coming soon]

• 🧊 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†

🤝PrincetonUniv.[arXiv2025][Awesome-3D-Low-Level-Vision]

• [C20]🏃🏻 MotionGrounder: Grounded Multi-Object Motion Transfer via Diffusion Transformer

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

NeurIPS 2026 (Acceptance Rate: 25.7%  ≈ 7,900/30,709)

🤝AdobeResearch,KAIST[arXiv2026][Project Page]

• [J8]🎯 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†

IEEE TPAMI (IF=20.4)

coming soon (DOI: 10.1109/TPAMI.2026.3722239)

🤝AdobeResearch,KAIST[arXiv2025][IEEE TPAMI][Project Page][GitHub][MIVE Dataset]

• [C19]֎ FMA-Net++: Motion- and Exposure-Aware Joint Video Super-Resolution and Deblurring

Geunhyuk Youk, Jihyong Oh†, and Munchurl Kim† 

ECCV 2026 (Acceptance Rate: 27.5%  ≈ 2,883/10,473)

🤝KAIST[arXiv2025][Project Page][GitHub]

• [C18]🔎 AVSR-Diff: Scale-Agnostic Diffusion Priors for Temporally Consistent Arbitrary-Scale Video Super-Resolution

Geunhyuk Youk,  Jeonghyeok Do, Dayeon Kim, Jihyong Oh†, and Munchurl Kim† 

ECCV 2026 (Acceptance Rate: 27.5%  ≈ 2,883/10,473)

🤝KAIST[arXiv2026][Project Page][GitHub]

• [J7]🂡 AceVFI: A Comprehensive Survey of Advances in Video Frame Interpolation

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

IEEE TCSVT (IF=11.1)

vol. 36, issue 7, pp. 9477-9501, July 2026. (DOI: 10.1109/TCSVT.2026.3672288)

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

• [C17] 🚂 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†

CVPR 2026 (🏅Highlight Paper Rate: 3.6% ≈ 578/16,092) 

🤝ETRI[arXiv2025][Project Page][GitHub][CVPR2026][Video]

• [C16]🖼️ FRAMER: Frequency-Aligned Self-Distillation with Adaptive Modulation Leveraging Diffusion Priors for Real-World Image Super-Resolution

Seungho Choi, Jeahun Sung, and Jihyong Oh†

CVPR 2026 (Acceptance Rate: 25.42%  ≈ 4,090/16,092)

[arXiv2025][Project Page][GitHub][CVPR2026][Video]

• [C15]🌱 EcoSplat: Efficiency-controllable Feed-forward 3D Gaussian Splatting from Multi-view Images

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

CVPR 2026 (🏅Highlight Paper Rate: 3.6% ≈ 578/16,092) 

🤝KAIST[arXiv2025][Project Page][GitHub][CVPR2026]

• [C14]✨ FLAIR: Frequency- and Locality-Aware Implicit Neural Representations

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

CVPR 2026 (Findings) (Acceptance Rate: 36.1%  ≈ (4,090+1,717)/16,092)

🤝Oracle[arXiv2025][Project Page][GitHub][CVPRF2026][Video]

• [C13]🖌 OmniText: A Training-Free Generalist for Controllable Text-Image Manipulation

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

ICLR 2026 (Acceptance Rate: 28%  ≈ 5,320/19,000)

🤝AdobeResearch,KAIST[ICLR2026][arXiv2025][Project Page][GitHub]

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

🤝FlawlessAI,KAIST[arXiv2025][Project Page][GitHub][AAAI2026]

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

🤝AdobeResearch,TélécomParis,KyungheeUniv.[arXiv2025][AAAI2026]

• [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)

🤝POSTECH,KonkukUniv.[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 (🏅Highlight Paper Rate: 2.35% ≈ 263/11,152) 

🤝SeoulNationalUniv.[ICCV2025][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)

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

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

🤝ETRI,KAIST[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 (Acceptance Rate: 22.1% ≈ 2,878/13,008) 

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

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

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