โ† All stories
Developing story AI Research1 updates today

HAT-4D: Multi-Object 4D Reconstruction Framework

Researchers propose HAT-4D, a novel agentic framework using VLMs to reconstruct 3D geometry, temporal dynamics, and physical interactions of multiple objects from a single monocular video, addressing occlusions and complex dynamics in multi-object interactions.

One continuously updated timeline instead of dozens of separate articles. New developments are appended as the story evolves.

  1. AnnouncementJun 26, 2026, 04:05 PM 84%

    HAT-4D introduced as first agentic framework for reconstructing 3D geometry and interactions of multiple objects from single monocular video

    Researchers propose HAT-4D, a novel agentic framework using VLMs to reconstruct 3D geometry, temporal dynamics, and physical interactions of multiple objects from a single monocular video, addressing occlusions and complex dynamics in multi-object interactions.

    Read the full story โ†’
TickrWire

AI news intelligence. We aggregate, verify, summarise and explain the latest artificial intelligence news from open, legal sources.

Daily AI digest

Top AI stories, summarised, in your inbox each morning.

ยฉ 2026 TickrWire. Summaries and analysis are AI-generated and may contain errors.Privacy