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Prior audio-visual self-supervised learning methods rely on mechanisms such as EMA target encoders, prediction heads, reconstruction decoders, and contrastive losses. We introduce LeAVJEPA, the first audio-visual encoder trained under LeJEPA's collapse-free objective. A single early-fusion Vision Transformer processes...
This work introduces S$^3$T (Self-Supervised Self-Distillation over Time), which is the first fully self-contained framework for continuous video state tracking and treats temporal sampling density as privileged information, based on the hypothesis that a denser view of the same clip recovers the running state more acc...
Across RealEstate10K, DL3DV, Tanks-and-Temples, and Mip-NeRF 360, SplatGuide achieves state-of-the-art pose-free novel view synthesis, and surpasses the ground-truth-pose baseline.
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