4DAnyone reconstructs 4D humans from monocular video
The framework uses multiview-consistent video generation and 4D Gaussian Splatting.
Why it matters
The work targets a key limitation in human 4D reconstruction: maintaining global appearance and structure across many generated views. If validated, it could improve pipelines that turn casual video into editable or renderable 4D human assets.
The key points
- 1.Reconstructs 4D humans from uncalibrated monocular video.
- 2.Uses Reference Context Packing and Target Context Routing.
- 3.Targets consistency failures across many generated views.
Researchers presented 4DAnyone, a framework for reconstructing 4D humans from uncalibrated monocular video. The method generates reconstruction-grade, multiview-consistent videos and lifts them into 4D Gaussian Splatting, addressing consistency failures in camera-controlled video diffusion when many target views are required.
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