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README.md

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-license: apache-2.0
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+---
+license: mit
+---
+<b>Real3D</b>
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+
+**Model Details**:
+
+**Model Description**:
+
+We use the model architecture provided by [TripoSR](https://github.com/VAST-AI-Research/TripoSR), which is a Transformer model for 2D-to-3D mapping built on [LRM](https://arxiv.org/abs/2311.04400).
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+We scale it further on in-the-wild image collections by enabling unsupervised self-training and automatric data curation.
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+* Developed by: [Hanwen Jiang](https://hwjiang1510.github.io/)
+* License: MIT
+* Hardware: We train Real3D on 1 node (8GPU) with equivalent batch size of 80 for 5-6 days.
+
+**Model Sources**:
+* Paper: https://arxiv.org/abs/2406.08479
+* Project: https://hwjiang1510.github.io/Real3D/
+* Code for training and evaluation: https://github.com/hwjiang1510/Real3D
+
+**Training Data**:
+Real3D is jointly trained on synthetic data (Objaverse) and in-the-wild image collections. The former prevents training divergence, the latter introduces new knowldege from a broader distribution of real images. We use Objaverse renderings from [Zero-1-to-3](https://github.com/cvlab-columbia/zero123) and [GObjaverse](https://aigc3d.github.io/gobjaverse/). The in the wild images are from [ImageNet](https://www.image-net.org/), [OpenImages](https://storage.googleapis.com/openimages/web/index.html), etc.
+
+**Misuse, Malicious Use, and Out-of-Scope Use**:
+The model should not be used to intentionally create or disseminate 3D models that people would foreseeably find disturbing, distressing, or offensive; or content that propagates historical or current stereotypes.