Replay: multi-modal multi-view acted videos for casual holography

We introduce Replay, a collection of multi-view, multimodal videos of humans interacting socially. Each scene is filmed in high production quality, from different viewpoints with several static cameras, as well as wearable action cameras, and recorded with a large array of microphones at different p...

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Main Authors: Shapovalov, R, Kleiman, Y, Rocco, I, Novotny, D, Vedaldi, A, Chen, C, Kokkinos, F, Graham, B, Neverova, N
Format: Conference item
Language:English
Published: IEEE 2024
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author Shapovalov, R
Kleiman, Y
Rocco, I
Novotny, D
Vedaldi, A
Chen, C
Kokkinos, F
Graham, B
Neverova, N
author_facet Shapovalov, R
Kleiman, Y
Rocco, I
Novotny, D
Vedaldi, A
Chen, C
Kokkinos, F
Graham, B
Neverova, N
author_sort Shapovalov, R
collection OXFORD
description We introduce Replay, a collection of multi-view, multimodal videos of humans interacting socially. Each scene is filmed in high production quality, from different viewpoints with several static cameras, as well as wearable action cameras, and recorded with a large array of microphones at different positions in the room. Overall, the dataset contains over 4000 minutes of footage and over 7 million timestamped high-resolution frames annotated with camera poses and partially with foreground masks. The Replay dataset has many potential applications, such as novelview synthesis, 3D reconstruction, novel-view acoustic synthesis, human body and face analysis, and training generative models. We provide a benchmark for training and evaluating novel-view synthesis, with two scenarios of different difficulty. Finally, we evaluate several baseline state-of-theart methods on the new benchmark.
first_indexed 2024-03-07T08:25:31Z
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spelling oxford-uuid:fb8af908-03cb-485c-8483-1b79245f6ed42024-02-12T09:49:47ZReplay: multi-modal multi-view acted videos for casual holographyConference itemhttp://purl.org/coar/resource_type/c_5794uuid:fb8af908-03cb-485c-8483-1b79245f6ed4EnglishSymplectic ElementsIEEE2024Shapovalov, RKleiman, YRocco, INovotny, DVedaldi, AChen, CKokkinos, FGraham, BNeverova, NWe introduce Replay, a collection of multi-view, multimodal videos of humans interacting socially. Each scene is filmed in high production quality, from different viewpoints with several static cameras, as well as wearable action cameras, and recorded with a large array of microphones at different positions in the room. Overall, the dataset contains over 4000 minutes of footage and over 7 million timestamped high-resolution frames annotated with camera poses and partially with foreground masks. The Replay dataset has many potential applications, such as novelview synthesis, 3D reconstruction, novel-view acoustic synthesis, human body and face analysis, and training generative models. We provide a benchmark for training and evaluating novel-view synthesis, with two scenarios of different difficulty. Finally, we evaluate several baseline state-of-theart methods on the new benchmark.
spellingShingle Shapovalov, R
Kleiman, Y
Rocco, I
Novotny, D
Vedaldi, A
Chen, C
Kokkinos, F
Graham, B
Neverova, N
Replay: multi-modal multi-view acted videos for casual holography
title Replay: multi-modal multi-view acted videos for casual holography
title_full Replay: multi-modal multi-view acted videos for casual holography
title_fullStr Replay: multi-modal multi-view acted videos for casual holography
title_full_unstemmed Replay: multi-modal multi-view acted videos for casual holography
title_short Replay: multi-modal multi-view acted videos for casual holography
title_sort replay multi modal multi view acted videos for casual holography
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