Update README.md

README.md

@@ -2,4 +2,58 @@
 license: mit
 datasets:
 - 3DGen/3DGen-Bench
----
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+**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. 
+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.
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+- **Training Data:** 3DGen/3DGen-Bench
+- **Pretrained Model:** laion/CLIP-ViT-H-14-laion2B-s32B-b79K
+- **Supported by:** Shanghai AI Lab
+- **License:** MIT
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** https://github.com/3DTopia/3DGen-Bench
+- **Paper [optional]:** 
+- **Demo [optional]:** 
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]