AI Video Papers2026
Compiles a screenplay into shot requests annotated with explicit location, camera and event-time references to enable spatially and temporally consistent long-form agentic video generation. Uses a scene memory of registered geometry and an event memory of time-indexed observations, reconstructs and registers clips, and only admits updates after review and state checks to reduce cross-shot drift.
Embodied AI2026
Learns executable language-conditioned local navigation by pretraining on instruction-conditioned Internet egocentric videos, aligning learned visual dynamics with simulated action labels, then jointly fine-tuning for navigation. Achieves high success rates on short-horizon benchmarks (86.5% OVON, 94.9% HabitatGS-LN) with real-robot validation and released code/data.