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--- |
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license: mit |
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datasets: |
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- 3DGen/3DGen-Bench |
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--- |
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# 3DGen-Score |
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<!-- |
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**3DGen-Score** is an automatic evaluator fot 3D conditianl generation, which is trained on **3DGen-Bench**, a dataset of comparisons between two generated models on the same input. |
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The "clip-v1" version is finetued from "laion/CLIP-ViT-H-14-laion2B-s32B-b79K" in a "two-stage" style, and achieves an outstanding degree of human preference coherence. |
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--> |
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**3DGen-Score** is an automatic evaluator for 3D conditianl generation, trained on a comparisons dataset. |
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<!-- Provide a longer summary of what this model is. --> |
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- **Paper:** |
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- **Training Data:** 3DGen/3DGen-Bench |
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- **Pretrained Model:** laion/CLIP-ViT-H-14-laion2B-s32B-b79K |
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- **Github Repository:** https://github.com/3DTopia/3DGen-Bench |
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- **License:** MIT |
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## Uses |
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> |
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### Direct Use |
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> |
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[More Information Needed] |
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### Downstream Use [optional] |
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> |
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[More Information Needed] |
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## Citation [optional] |
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> |
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**BibTeX:** |
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[More Information Needed] |
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**APA:** |
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[More Information Needed] |
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