Perpetual View Generation
2 papers with code • 1 benchmarks • 1 datasets
Perpetual View Generation is the task of generating long-range novel views by flying into a given image.
Benchmarks
These leaderboards are used to track progress in Perpetual View Generation
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LHQ
Most implemented papers
Infinite Nature: Perpetual View Generation of Natural Scenes from a Single Image
google-research/google-research
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ICCV 2021
We introduce the problem of perpetual view generation - long-range generation of novel views corresponding to an arbitrarily long camera trajectory given a single image.
InfiniteNature-Zero: Learning Perpetual View Generation of Natural Scenes from Single Images
google-research/google-research
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We present a method for learning to generate unbounded flythrough videos of natural scenes starting from a single view, where this capability is learned from a collection of single photographs, without requiring camera poses or even multiple views of each scene.
