A feed-forward network reconstructs a layered depth map from sparse multi-view images and renders novel views at 1080p/30fps, matching or beating several offline methods on standard benchmarks.
In Computer Vision – ECCV 2020 , Andrea Vedaldi, Horst Bischof, Thomas Brox, and Jan-Michael Frahm (Eds.)
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Quark: Real-time, High-resolution, and General Neural View Synthesis
A feed-forward network reconstructs a layered depth map from sparse multi-view images and renders novel views at 1080p/30fps, matching or beating several offline methods on standard benchmarks.