Jun LIU
Singapore University of Technology and Design
Hossein RAHMANI
Lancaster University
Mengyuan LIU
Peking University
Ping HU
University of Electronic Science and Technology of China
Zhipeng FAN
Meta
Kian Eng ONG
Singapore University of Technology and Design
Xun Long NG
Singapore University of Technology and Design
Tony QUEK
Singapore University of Technology and Design
Diffusion models have emerged as powerful tools for generative AI in enriching metaverse experiences with interactive and diverse content. These models excel in generating varied and customizable outputs, hence making them well-suited for creating the vast amounts of detailed digital assets needed for immersive virtual worlds. Besides the generative tasks, diffusion models can be applied to non-generative tasks that are important for enabling the metaverse. This includes 3D pose estimation, 3D mesh recovery, and action detection. However, it is challenging to directly apply the usual method of diffusion to these tasks. As such, in this talk, he will share about how to tackle these challenges.
Hence, this workshop aims to bring together and unite researchers and practitioners (e.g., animators, game developers, data engineers) in
The workshop will consist of talks by Keynote Speakers, as well as oral and poster presentations by authors of accepted papers.
Types of Paper Submission
Paper Submission
More details to come soon.
31 March 2024
UTC 23:59:00
Deadline for submitting papers (Select: ICME 2024 Workshop-VLMetaverse)
11 April 2024
UTC 23:59:00
Notification of paper acceptance
01 May 2024
Deadline for camera-ready submission of accepted paper
01 May 2024
Author Full Conference Registration