HODome Dataset (NeuralDome, CVPR 2023) HODome is a dense 76 view dome capture of human–object interaction : 10 subjects interacting with 23 objects. This repository hosts the annotations (body model reconstructions, object 6 DoF, calibration, scanned object templates). The 76 view 4K videos are large and distributed separately (see Videos below). Paper: NeuralDome (CVPR 2023) Project page: https://juzezhang.github.io/NeuralDome/ Toolbox (download / process / visualize): https://github.com/Juzezhang/NeuralDome Toolbox Layout Human pose sources — three body models cover the same actor. Use smplx (recommended) or mhr (modern reconstructions, full hands, consistent identity from frame 0). smplh is the older ground aligned GT and is noticeably less accurate — kept for backward compatibility. Object pose is always object/{Seq}.npz ; the object mesh is the mean centered scaned object/{obj}/{obj} face1000.obj posed by object R / object T ( verts0 @ object R.T + object T ). Usage Then use the NeuralDome Toolbox to visualize ( scripts/hodome visualize pyrender.py source smplx ). Videos The 76 view 4K RGB videos and refined masks are hundreds of GB and are distributed via the project's Google…
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