README.md

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GaussianCube Model Trained on Objaverse

We provide the GaussianCube model trained on Objaverse.

The v1.0 is trained under the setting of our paper.

For v1.1 version, we re-filter the data of Objaverse according to aesthetic score. We also include hssd_models and 3D-FUTURE for training, building a training set of around 170k high-quality 3D assets. Moreover, we generate the text captions of each 3D asset using GPT-4o, resulting highly detailed text description. Therefore, our v1.1 model has stronger capability to longer and more detailed input text captions.