Native Action-Prior Learning from Videos for World Action Models
NAVA-WAM pretrains robot action policies directly from observation-only videos, then post-trains on labeled demonstrations.
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Stories tagged #video-pretraining
TT-VidT: Decoupling the Temporal Axis for Efficient Motion-Centric Video Pretraining
TT-VidT pairs a DINOv3 spatial ViT with a temporal layer, leading motion benchmarks at lower FLOPs.
VidaForge: Open Research Infrastructure for Video Pretraining Data Recipes
VidaForge releases open infrastructure and VIDAFORGE-3M (3.14M clips, 6,475 hours) linking video pretraining data recipes to downstream model performance.