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In-Hwan Jin I'm an M.S. student in the Department of Electrical and Electronic Engineering at Pusan National University, advised by Professor Kyeongbo Kong. My research aims to advance spatial intelligence, enabling AI systems to represent, understand, and ultimately interact with the physical world. To build this foundation, I study 3D/4D scene reconstruction and generation, with a particular focus on Gaussian Splatting. My recent work explores high-fidelity dynamic scene reconstruction from multi-view videos and interactive 4D world generation from limited visual observations. I am expected to graduate with my M.S. in August 2027 and am currently seeking Ph.D. positions. |
PublicationsFor a complete list of publications, please refer to my Google Scholar. * indicates equal contribution; † indicates corresponding author. |
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LivingWorld: Interactive 4D World Generation with Environmental Dynamics Hyeongju Mun*, In-Hwan Jin*, Sohyeong Kim, Kyeongbo Kong† ECCV, 2026 paper / project page / code |
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On the Design of Mixture-of-Experts for Dynamic Gaussian Splatting In-Hwan Jin*, Hyeongju Mun*, Joonsoo Kim, Kugjin Yun, Kyeongbo Kong† IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2026 paper / project page / code |
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MoE-GS: Mixture of Experts for Dynamic Gaussian Splatting In-Hwan Jin*, Hyeongju Mun*, Joonsoo Kim, Kugjin Yun, Kyeongbo Kong† ICLR, 2026 paper / project page / code |
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FluIDWorld: Fluid-like Interactive Dynamics for 4D Worlds Hyeongju Mun*, In-Hwan Jin*, Sohyeong Kim, Kyeongbo Kong† Workshop on World Models: Understanding, Modelling and Scaling (ICLR), 2026 paper |
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Motion-to-Attention: Enhancing Attention Maps to Improve Performance of Text-Guided Video Editing Seong-Hun Jeong*, In-Hwan Jin*, Haesoo Choo*, Hyunjun Na*, Kyeongbo Kong† ACM TOMM, 2026 paper / project page / code |
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Optimizing 4D Gaussians for Dynamic Scene Video from Single Landscape Images In-Hwan Jin*, Haesoo Choo*, Seong-Hun Jeong, Heemoon Park, Junghwan Kim, Oh-joon Kwon, Kyeongbo Kong† ICLR, 2025 paper / project page / code |
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Dynamic Scene Reconstruction from Single Landscape Image Using 4D Gaussian in the Wild In-Hwan Jin*, Haesoo Choo, Seong-Hun Jeong, Heemoon Park, Oh-joon Kwon, Kyeongbo Kong† Workshop on 3D Modeling, Reconstruction, and Generation in the Wild (Wild3D, ECCV), 2024 paper / project page |
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Enhancing Text-to-Video Editing with Motion Map Injection Seong-Hun Jeong*, In-Hwan Jin*, Haesoo Choo*, Hyunjun Na*, Kyeongbo Kong† Workshop on AI for Creative Video Editing and Understanding (ICCV), 2023 (Oral Presentation Invitation) |
Projects | |
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Electronics and Telecommunications Research Institute (ETRI) 4D Gaussian representation learning and viewpoint augmentation software for high-quality virtual viewpoint synthesis, ETRI, Korea (Mar. 2026 – present) High-quality 4D space reconstruction software from multi-view images for light-field video data generation, ETRI, Korea (Mar. 2025 – Nov. 2025) 4D spatial representation generation and light-field video rendering software, ETRI, Korea (Aug. 2024 – Nov. 2024) |
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Busan MBC Development of an immersive marine content production system using generative AI, Busan MBC, Korea (Jul. 2023 – Nov. 2024) |
Education Programs | |
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University of Toronto AI Convergence Education Program, Jan. – Jun. 2027 |
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POSCO AI/Big Data Academy (27th cohort), Jul. – Sep. 2024 |
Patents
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Academic ServiceReviewer for ICLR (2027) and NeurIPS (2026) |
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Website template from Jon Barron. |
