2025
Instant Video Models: Universal Adapters for Stabilizing Image-Based Networks
NeurIPS 2025poster
When applied sequentially to video, frame-based networks often exhibit temporal inconsistency—for example, outputs that flicker between frames. This problem is amplified when the network inputs contain time-varying corruptions. In this work, we introduce a general approach for adapting frame-based m…