📅開催日時: 2026年4月17日 13:30-14:30
📍場所: 東京大学理学部7号館2階214号室, 東京, 日本
Animāre（アニマーレ）の第2回ミニトークはTien-Tsin Wong氏に「Towards Generative Filming: Progress and Challenges」と題して講演していただきます。 Animāre（アニマーレ）についてはこちら。
The rapid advancement of generative AI has made the once-distant dream of creating entire films using artificial intelligence increasingly tangible. Traditional film production is costly, time-consuming, and dependent on extensive technical expertise in modeling, animation, and rendering. In contrast, generative models, particularly diffusion-based techniques, promise high-quality visual richness with drastically lower modeling effort and a reduced skill barrier, offering new creative possibilities for both professionals and amateurs.
This talk explores the emerging generative filming: using AI to generate, control, and refine visual narratives. I will review our team’s research work in controlling diffusion models for video generation, including work on image, and keyframe-based conditioning, as well as motion and camera trajectory control. We will also discuss fundamental challenges that must be overcome before AI-generated films can rival traditional production pipelines, such as physics plausibility, long-term content consistency, and the gap between 2D training data and our inherently 3D physical world. I will also discuss about a hybrid approach, combining the physical rigor of computer graphics with the generative power of AI, may be the most practical path forward toward fully AI-assisted filmmaking, at the current moment.
Tien-Tsin Wong is Professor of Generative AI in the Department of Data Science and Artificial Intelligence at Monash University, Australia. Prior to this, he was a professor in the Computer Science & Engineering Department of the Chinese University of Hong Kong from 1999 to 2024. He received his B.Sc., M.Phil., and Ph.D. degrees in Computer Science from the Chinese University of Hong Kong in 1992, 1994, and 1998, respectively. He received the IEEE Transactions on Multimedia Prize Paper Award 2005 and the Young Researcher Award 2004. He has served associate editors for IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, Computational Visual Media, and The Visual Computer.
He is known with his works in Generative AI for Video Generation, Computational Manga, Image-based Relighting, Ambient Occlusion (Dust Accumulation Simulation), Sphere Maps, and GPU techniques. His recent works include Dynamicrafter, Tooncrafter, MotionCanvas and VLIPP. More information about him can be found at https://ttwong12.github.io/.
東京大学へのアクセスマップと、構内のキャンパスマップをご参照ください。
理学部7号館に到着したら2階の214号室に直接お越しください。