Objaverse++ is a curated subset of Objaverse with detailed attribute annotations by human experts.
10,000 3D objects in Objaverse++ are manually annotated with attributes such as aesthetic quality scores, texture color classifications, multi-object composition flags, and transparency characteristics.
A neural network trained on Objaverse++ achieved better performance in image-to-3D generation tasks compared to models trained on the larger Objaverse dataset.
Approximately 500,000 curated 3D models are released as the enhanced dataset, offering a more efficient path to develop 3D generative models.