Update README.md

README.md

@@ -2,7 +2,50 @@
 license: openrail
 language:
 - en
+pipeline_tag: image-to-image
+datasets:
+  - mvp18/gscenes_pretrain
+tags:
+  - diffusion
+  - image-to-image
+  - image-to-3d
+  - 3d-reconstruction
+  - gaussian-splatting
+  - pose-free
+  - sparse-view
+  - rgbd
 base_model:
-- stabilityai/stable-diffusion-2-1
-pipeline_tag: image-to-3d
----
+  - stabilityai/stable-diffusion-2
+---
+
+## Summary
+
+This repository provides checkpoints used in the **Gaussian Scenes** pipeline for pose-free, sparse-view scene reconstruction. The weights are stored in Diffusers format and organized as two components:
+
+- **UNet** — denoising backbone (Diffusers UNet) adapted for our pipeline.
+- **VAE** — variational autoencoder used for latent encoding/decoding.
+
+These checkpoints are intended for research use and model reproducibility.
+
+## Usage
+
+For a guide on how to use this model, check out the [https://github.com/gaussian-scenes](official repository).
+
+## Citation
+
+If you use these checkpoints in your work, please cite the associated paper:
+
+```
+@article{
+paul2025gaussian,
+title={Gaussian Scenes: Pose-Free Sparse-View Scene Reconstruction using Depth-Enhanced Diffusion Priors},
+author={Soumava Paul and Prakhar Kaushik and Alan Yuille},
+journal={Transactions on Machine Learning Research},
+issn={2835-8856},
+year={2025},
+url={https://openreview.net/forum?id=yp1CYo6R0r},
+note={}
+}
+```
+
+The HuggingFace paper page can be found [https://huggingface.co/papers/2411.15966](here).