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We introduce Replay, a collection of multi-view, multi-modal videos of humansinteracting socially. Each scene is filmed in high production quality, fromdifferent viewpoints with several static cameras, as well as wearable actioncameras, and recorded with a large array of microphones at different positionsin the room. Overall, the dataset contains over 4000 minutes of footage andover 7 million timestamped high-resolution frames annotated with camera posesand partially with foreground masks. The Replay dataset has many potentialapplications, such as novel-view synthesis, 3D reconstruction, novel-viewacoustic synthesis, human body and face analysis, and training generativemodels. We provide a benchmark for training and evaluating novel-viewsynthesis, with two scenarios of different difficulty. Finally, we evaluateseveral baseline state-of-the-art methods on the new benchmark.

Replay: Multi-modal Multi-view Acted Videos for Casual Holography