Shiqi Li, Sean Cho, Yijie Li, Fengzhi Guo, Bowen Wen, Cheng Zhang
The 4D-HOF framework reconstructs 4D hand-object interactions from coarse estimates using a conditional flow matching model. This approach enables test-time guidance and refinement of the reconstruction process. It achieves state-of-the-art performance on out-of-domain benchmarks.
Accurate 4D hand-object reconstruction has significant implications for applications like human-computer interaction, robotics, and virtual reality. The ability to refine reconstructions in real-time enhances the overall user experience and enables more precise control. This technology can also improve safety and efficiency in various industries.
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