Distinguished Professor Kyoung Mu Lee Explores Frontiers in 3D Computer Vision
18 Apr 2025
Professor Lee sheds light on the evolution of 3D computer vision technologies and highlights the emerging role of artificial intelligence in automating future 3D manufacturing.
Professor Jianliang Xu, Head of the Department (right), presents the souvenir to Professor Kyoung Mu Lee.
Distinguished Professor Kyoung Mu Lee, a leading expert in 3D computer vision from Seoul National University, delivered an illuminating lecture titled “3D Computer Vision: Reconstruction, Generation, and Making” on 17 April 2025.
In his lecture, Professor Lee emphasised the critical importance of understanding 3D concept, and provided a comprehensive overview of 3D reconstruction, from classical Shape-from-X techniques such as stereo, shading, texture, and focus/defocus, to advanced deep learning methods including monocular depth estimation, and neural implicit representations. He also examined the challenges of occlusion and accurate contact estimation and highlighted the recent breakthroughs in hand-object interaction reconstruction. Extending beyond reconstruction, Professor Lee also explored cutting-edge 3D generation methods, including the domain-free scene generation via 3D Gaussian Splatting and high-fidelity text-to-3D generation.
In addition, he also shed light on the emerging role of artificial intelligence (AI) in automating 3D CAD model generation directly from textual descriptions, emphasising the preservation of precise geometric relations through fine-tuned diffusion models. He further introduced innovative pipelines for converting isometric images to orthographic technical drawings and explored the direct generation of G-code from 3D shapes for CNC machining, underscoring the potential to streamline manufacturing workflows.
Professor Lee’s lecture offered a panoramic view of the state of the art in 3D computer vision’s reconstruction, generation, and manufacturing, highlighting both foundational theories and practical applications that intersect computer vision, AI, and manufacturing.
Professor Kyoung Mu Lee is currently the Editor-in-Chief of the IEEE Transactions on Pattern Analysis and Machine Intelligence and a distinguished professor at Seoul National University. His research interests encompass a wide range of areas in computer vision and machine learning, including low-level vision, visual tracking and navigation, 3D reconstruction, human pose and shape estimation, and video analysis. He is co-author of more than 70 journal papers and 180 conference papers.
