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nocaps, caption, open images, deep learning, computer vision, neural networks, machine learning
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site name
author
updated
2026-02-28 16:14:06
raw text
MUGEN MUGEN A Playground for Video-Audio-Text Multimodal Understanding and GENeration Overview Data Download Paper Code An overview of MUGEN. Multimodal video-audio-text understanding and generation can benefit from datasets that are narrow but rich. The narrowness allows bite-sized challenges that the research community can make progress on. The richness ensures we are making progress along the core challenges. To this end, we present a large-scale video-audio-text dataset MUGEN, collected using the open-sourced platform game CoinRun . We made substantial modifications to make the game richer by introducing audio and enabling new interactions. We trained RL agents with different objectives to navigate the game and interact with 13 objects and characters. This allows us to automatically extract a large collection of diverse videos and associated audio. We sample 375K video clips (3.2s each) and collect text descriptions from human annotators. Each video...
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