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Found 3 papers, 1 papers with code
Revisiting Learning-based Video Motion Magnification for Real-time Processing
Video motion magnification is a technique to capture and amplify subtle motion in a video that is invisible to the naked eye.
Learning-based Axial Video Motion Magnification
In this work, we focus on improving legibility by proposing a new concept, axial motion magnification, which magnifies decomposed motions along the user-specified direction.
HDR-Plenoxels: Self-Calibrating High Dynamic Range Radiance Fields
Our voxel-based volume rendering pipeline reconstructs HDR radiance fields with only multi-view LDR images taken from varying camera settings in an end-to-end manner and has a fast convergence speed.
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