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Bridging the gap between third-person and first-person video generation is as simple as interpolating the videos, revealing that spatio-temporal discontinuities are the real bottleneck.
Removing an object from a video isn't just about inpainting what's behind it; VOID ensures the *downstream physics* still make sense.
Autonomous vehicles can now better identify the unexpected, thanks to a new method that boosts out-of-distribution detection by up to 20% without retraining.
The field of video understanding is rapidly shifting from isolated pipelines to unified models capable of adapting to diverse downstream tasks, demanding a re-evaluation of current approaches.
