In our experiments, training with a dataset of around 30,000 filtered 3D objects shows our model's robust generalization capabilities, despite its relatively small scale.
Rendering a diverse multi-view dataset involved normalizing each 3D object to a unit scale, then capturing images from six distinct viewpoints using Blenderproc.
Collection
[
|
...
]