RayYoh

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GaussianCross

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This PR adds a comprehensive model card for the GaussianCross model.

It includes:

• Adding the pipeline_tag: other to accurately categorize the model for 3D representation learning.
• Specifying the library_name: pointcept as the model is built on this toolkit.
• Adding relevant tags like 3d, gaussian-splatting, point-cloud, self-supervised-learning, and representation-learning for improved discoverability.
• Direct links to the paper (GaussianCross: Cross-modal Self-supervised 3D Representation Learning via Gaussian Splatting), project page (https://rayyoh.github.io/GaussianCross/), and the GitHub repository (https://github.com/RayYoh/GaussianCross).
• The full abstract of the paper for a detailed overview.
• Visualizations (teaser and pipeline images) to enhance understanding.
• Detailed instructions for installation, data preprocessing, and usage (training with pretrained weights), derived from the official GitHub repository.
• The appropriate citation information.

This update will significantly improve the discoverability and usability of the model on the Hugging Face Hub.