The authors represent the initial hand and object geometry, poses and relative placement using coarse outputs from vision foundation models.
Foundation-model initialization improves feed-forward 4D hand-object reconstruction from video
4D-HOF learns to transport coarse hand and object estimates toward temporally stable, physically plausible interactions without per-sequence fitting.
Big Tech
Shiqi Li · Sean Cho · Yijie Li · Fengzhi Guo · Bowen Wen · Cheng Zhang
NVIDIA · Texas A&M University
Research Digest··2 min read
Li and colleagues present a system for reconstructing time-varying 3D hand-object interactions from monocular video.
Why this paper
From NVIDIA and Texas A&M University
In one line
4D-HOF uses conditional flow matching to refine foundation model estimates into accurate, stable 4D hand-object reconstructions.
What we could check
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