3D Object Super-Resolution
2 papers with code • 0 benchmarks • 1 datasets
3D object super-resolution is the task of up-sampling 3D objects.
These leaderboards are used to track progress in 3D Object Super-Resolution
This paper proposes a 3D shape descriptor network, which is a deep convolutional energy-based model, for modeling volumetric shape patterns.