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20172021
most citedFlow-edge Guided Video Completion

1 citations · 1 across the 3 of their papers we have counts for

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9 papers · 1 filter

cs.CV2021

Dynamic View Synthesis from Dynamic Monocular Video

Chen Gao, Ayush Saraf, Johannes Kopf +1

We present an algorithm for generating novel views at arbitrary viewpoints and any input time step given a monocular video of a dynamic scene. Our work builds upon recent advances…

cs.CV2020

Robust Consistent Video Depth Estimation

Johannes Kopf, Xuejian Rong, Jia-Bin Huang

We present an algorithm for estimating consistent dense depth maps and camera poses from a monocular video. We integrate a learning-based depth prior, in the form of a convolutiona…

cs.CV2020

Space-time Neural Irradiance Fields for Free-Viewpoint Video

Wenqi Xian, Jia-Bin Huang, Johannes Kopf +1

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…

cs.CV20201 cited

Flow-edge Guided Video Completion

Chen Gao, Ayush Saraf, Jia-Bin Huang +1

We present a new flow-based video completion algorithm. Previous flow completion methods are often unable to retain the sharpness of motion boundaries. Our method first extracts an…

cs.CV2020

One Shot 3D Photography

Johannes Kopf, Kevin Matzen, Suhib Alsisan +12

3D photography is a new medium that allows viewers to more fully experience a captured moment. In this work, we refer to a 3D photo as one that displays parallax induced by moving…

cs.CV2020

Consistent Video Depth Estimation

Xuan Luo, Jia-Bin Huang, Richard Szeliski +2

We present an algorithm for reconstructing dense, geometrically consistent depth for all pixels in a monocular video. We leverage a conventional structure-from-motion reconstructio…