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3D-MRL
marcusvlc/3D-MRL
3D-MRL is a machine learning model from marcusvlc. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This model repo provides the official pretrained models used in the paper 3D-MRL: Nested Multimodal 3D Representations via Matryoshka Representation Learning.
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Updated Aug 25, 2026
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At a glance
- Access
- Public
- Created
- Aug 23, 2026
- Updated
- Aug 25, 2026
- SHA
- ebb900ad
Model card
From the Hugging Face model README
Model Card for 3D-MRL
This model repo provides the official pretrained models used in the paper 3D-MRL: Nested Multimodal 3D Representations via Matryoshka Representation Learning.
You can find model usage and code in the GitHub repo.
Acknowledgement
3D-MRL is built using the awesome ULIP, Point-BERT, OpenShape, Uni3D, TAMM, MixCon3D and DuoDuo CLIP.
This work was supported in part by the São Paulo Research Foundation (FAPESP), under grants #2024/09462-1 and #2026/01721-3. The authors gratefully acknowledge the Center for Mathematical Sciences Applied to Industry (CeMEAI) for providing computational resources, funded by FAPESP under grant #2013/07375-0.
- Created
- Aug 23, 2026
- Updated
- Aug 25, 2026