Meta-learned test-time adaptation, focused on the shakiest parts of a video, improves the stability and quality of full-frame neural video stabilizers.
Deep online fused video stabilization,
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Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization
Meta-learned test-time adaptation, focused on the shakiest parts of a video, improves the stability and quality of full-frame neural video stabilizers.