Story

arxiv_cs_ai ยท Jun 26, 2026 ยท paper

Source brief

HAT-4D: Lifting Monocular Video for 4D Multi-Object Interactions via Human-Agent Collaboration

arxiv.orgJun 26, 2026
original source linked

In brief

Extracting dynamic 4D object interactions from massive, in-the-wild monocular videos offers a highly efficient data collection pathway for scaling Embodied AI and training VLAs. However, existing monocular 4D reconstr...

Feed lens
agenticevaluation

Continue reading

Read the original at arxiv.org โ†’Open in live feedRead that dayโ€™s brief

Earlier in this thread 3 items