mvp18/gscenes-checkpoints

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 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 here.