I am a Ph.D. student in the School of Electrical Engineering at KAIST VICLab, under the supervision of Prof. Munchurl Kim. Â
Research Interests:
3D Vision: 3D Gaussian Splatting, Multi-View Geometry, & Self-Supervised Monocular Depth
Generative Models: Video Diffusion Models for Novel View Synthesis & Propagation
Actively exploring how AI can perceive, reconstruct, and generate the 3D world from limited visual inputs.
Email: jaeho.moon@kaist.ac.kr
[CV][Google Scholar][LinkedIn]
2026.06: 🎉One paper accepted to ECCV 2026!
2026.06: 🎉One paper accepted to TCSVT (IF: 11.1)!
2026.02: 🎉Two papers accepted to CVPR 2026 (1 Poster, 1 Highlight)!
2025. 11: 🎉One paper accepted to AAAI 2026!
2025.02: 🎉Two papers accepted to CVPR 2025!
2024.02: 🎉One paper accepted to CVPR 2024!
*co-first authors (equal contribution)
†co-corresponding authorsÂ
AirSplat: Alignment and Rating for Robust Feed‑Forward 3D Gaussian SplattingÂ
Minh‑Quan Viet Bui*, Jaeho Moon*, Munchurl Kim
European Conference on Computer Vision (ECCV), 2026
[project page ] [arxiv]
Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels for Oil Spill Segmentation Learning on Satellite SAR ImagesÂ
Jaeho Moon*, Jeonghwan Yun*, Jaehyun Kim*, Jaehyup Lee†, Munchurl Kimâ€
IEEE Transactions on Circuits and Systems for Video (TCSVT)
[project page ] [arxiv]
PropFly: Learning to Propagate via On-the-Fly Supervision from Pre-trained Video Diffusion Models
Wonyong Seo*, Jaeho Moon*, Jaehyup Lee†, Soo Ye Kim†, Munchurl Kim†Â
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026
[project page ] [arxiv]
EcoSplat: Efficiency-controllable Feed-forward 3D Gaussian Splatting from Multi-view Images
Jongmin Park*, Minh-Quan Viet Bui*, Juan Luis Gonzalez Bello, Jaeho Moon, Jihyong Oh, Munchurl Kim
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026
[project page ] [arxiv]
MoBGS: Motion Deblurring Dynamic 3D Gaussian Splatting for Blurry Monocular Video
Minh-Quan Viet Buit*, Jongmin Park*, Juan Luis Gonzalez Bello, Jaeho Moon, Jihyung Oh, Munchurl Kim
AAAI Conference on Artificial Intelligence (AAAI), 2026
[project page ] [arxiv]
SplineGS: Robust Motion-Adaptive Spline for Real-Time Dynamic 3D Gaussians from Monocular Video
Jongmin Park*, Minh-Quan Viet Buit*, Juan Luis Gonzalez Bello, Jaeho Moon, Jihyung Oh, Munchurl Kim
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025
[project page ] [arxiv]
ABBSPO: Adaptive Bounding Box Scaling and Symmetric Prior based Orientation Prediction for Detection Aerial Image Objects
Woojin Lee*, Hyugjae Chang*, Jaeho Moon , Jaehyup Lee , Munchurl Kim
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025
[project page ] [arxiv]
From-Ground-To-Objects: Coarse-to-Fine Self-supervised Monocular Depth Estimation of Dynamic Objects with Ground Contact PriorÂ
Jaeho Moon, Juan Luis Gonzalez Bello, Byeongjun Kwon, Munchurl Kim
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
[project page ] [paper] [arxiv]
Detail-Preserving Self-Supervised Monocular Depth with Self-Supervised Structural Sharpening
 Juan Luis Gonzalez Bello, Jaeho Moon, Munchurl Kim
LatinX in AI Workshop at CVPR, 2023
[paper]
03.2023 - Present Ph.D. in Electrical Engineering, KAIST
Advisor: Prof. Munchurl Kim
03.2021 - 02.2023 M.S. in Electrical Engineering, KAIST
Advisor: Prof. Munchurl Kim
03.2016 - 02.2021 B.S. in School of Computing, KAIST
08.2019 - 02.2020 Exchange student at Technische Universität Darmstadt, Germany
06.2019 - 07.2019 Exchange student at the University of California, Santa Cruz, United States
Conferences
CVPR (2026), NeurIPS (2025, 2026), ECCV (2026), AAAI (2026)
Journals
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
04.2022 - Present SW STAR LAB (IITP)
Deep Learning-based Rendering of Spatial Video with Stationary and Dynamic Scenes
08.2023 - Present Integrated Satellite-based Applications Development for Korea Coast Guard
Deep-learning-based Illegal Ship and Contaminant Detection in Ocean SAR Imagery
03.2021 - 02.2022 Microsoft Research Asia
Deep Video Depth EstimationÂ
03.2020 - 02.2021 AI Engineer, Classum
Developed a search engine utilizing sparse retrieval (BM25) and contextual embedding models such as BERT and RoBERTa.