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title
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updated
2025-12-31 12:08:52
raw text
Space-time Neural Irradiance Fields for Free-Viewpoint Video Space-time Neural Irradiance Fields for Free-Viewpoint Video CVPR 2021 Wenqi Xian Cornell Tech Jia-Bin Huang Virginia Tech Johannes Kopf Facebook Changil Kim Facebook Abstract We present a method that learns a spatiotemporal neural irradiance field for dynamic scenes from a single video. Our learned representation enables free-viewpoint rendering of the input video. Our method builds upon recent advances in implicit representations. Learning a spatiotemporal irradiance field from a single video poses significant challenges because the video contains only one observation of the scene at any point in time. The 3D geometry of a scene can be legitimately represented in numerous ways since varying geometry (motion) can be explained with varying appearance and vice versa. We address this ambiguity by constraining the time-varying geometry of our dynamic scene representation using the scene depth estimated fr...
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