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Update README.md
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psc0628 authored Mar 30, 2023
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Expand Up @@ -7,6 +7,6 @@ python infer.py ma-scvp_longtail32.pth.tar Dragon
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## Explanation
The MA-SCVP network takes the 32x32x32 occupancy grid and the view state vector as input.
<img src="https://github.com/psc0628/MA-SCVP/blob/main/Demo/Dragon_voxelscene.png" width="300px"> <img src="https://github.com/psc0628/MA-SCVP/blob/main/Demo/Dragon_viewstate.png" width="230px">
<img src="https://github.com/psc0628/MA-SCVP/blob/main/Demo/Dragon_voxelscene.png" width="300px"> <img src="https://github.com/psc0628/MA-SCVP/blob/main/Demo/Dragon_viewstate.png" width="240px">
The MA-SCVP network outputs the ideally smallest view set (red-green-blue views) to cover all remaining object surfaces.
<img src="https://github.com/psc0628/MA-SCVP/blob/main/Demo/Dragon_cover.png" width="450px">

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