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cs.CV2026
Native Action-Prior Learning from Videos for World Action Models
Zhaochong An, Fei Zhang, Menglin Jia +10
World action models integrate future visual dynamics with robot action prediction, but their scalability remains limited by the need for action-annotated robot trajectories. Observ…
cs.CV2026
Unifying Video Tasks via Spatiotemporal Analogy
Chia-Hsiang Kao, Belinda Zeng, Bharath Hariharan +1
Adapting video models to new tasks typically requires dedicated data curation and fine-tuning. While visual analogy provides a training-free alternative by specifying tasks in-cont…