Add model card and pipeline tag (#1)

- Add model card and pipeline tag (555209148614ff29a85091b59892b99c11d9f84f)


Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>

README.md

@@ -1,3 +1,34 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+pipeline_tag: image-to-3d
+---
+
+# 3D-Fixer: Coarse-to-Fine In-place Completion for 3D Scenes from a Single Image
+
+[**Project Page**](https://zx-yin.github.io/3dfixer/) | [**Paper**](https://huggingface.co/papers/2604.04406) | [**GitHub**](https://github.com/HorizonRobotics/3D-Fixer)
+
+3D-Fixer introduces a novel **In-Place Completion** paradigm to create high-fidelity 3D scenes from a single image. It extends 3D object generative priors to generate complete 3D assets conditioned on partially visible point clouds, using fragmented geometry as a spatial anchor to preserve layout fidelity without the need for time-consuming pose optimization.
+
+## Sample Usage
+
+The model can be loaded using the following code snippet from the [official repository](https://github.com/HorizonRobotics/3D-Fixer):
+
+```python
+# Load the pretrained model
+ThreeDFixerPipeline.from_pretrained("HorizonRobotics/3D-Fixer")
+```
+
+## Dataset
+
+The model was trained on **ARSG-110K**, a large-scale scene-level dataset comprising over 110K diverse scenes and 3M annotated images with high-fidelity 3D ground truth.
+
+## Citation
+
+```bibtex
+@inproceedings{yin2026tdfixer,
+  title={3D-Fixer: Coarse-to-Fine In-place Completion for 3D Scenes from a Single Image},
+  author={Yin, Ze-Xin and Liu, Liu and Wang, Xinjie and Sui, Wei and Su, Zhizhong and Yang, Jian and Xie, jin},
+  booktitle={Proceedings of the Computer Vision and Pattern Recognition Conference},
+  year={2026}
+}
+```