(RichMediaGAI'25) 3rd International Workshop on Rich Media with Generative AI

摘要

The goal of this workshop is to showcase the latest advancements in generative AI (GAI) for creating, editing, restoring, and compressing rich media data, including images, videos, and 3D content. GAI models such as VAEs, GANs, and diffusion models have demonstrated remarkable impact in both academic research and industrial applications. For example, GAI enables users to design and generate synthetic yet realistic content without requiring professional artistic or technical expertise, driving significant market growth in gaming and entertainment. Beyond creative applications, GAI also provides crucial simulated data for training embodied AI agents. When applied to media restoration and synthesis, GAI techniques can further alleviate transmission challenges by offloading computation to client devices. To advance this field, the workshop will host four competition tracks using novel industry-level data, solicit high-quality paper submissions, and invite leading speakers from academia and industry to foster collaboration and innovation. In particular, the competition focuses on media generation and transmission with GAI. The first three tracks address reducing computation and transmission costs for efficient media delivery, while the fourth track focuses on controlled novel content creation. To support these challenges, a large-scale multi-modality, multi-view dataset named M3VIR is provided. This dataset comprises a diverse collection of videos simulated using the UE5 Unreal Engine, with carefully matched content serving as ground truth for the competition tasks.