metadata

title: SparseAGS
emoji: 🐠
colorFrom: purple
colorTo: yellow
sdk: gradio
sdk_version: 5.7.1
app_file: gradio_app.py
pinned: false
license: mit

SparseAGS

This repository contains the official implementation for Sparse-view Pose Estimation and Reconstruction via Analysis by Generative Synthesis. The paper has been accepted to NeurIPS 2024.

Project Page | arXiv (Coming Soon)

Citation

@inproceedings{zhao2024sparseags,
  title={Sparse-view Pose Estimation and Reconstruction via Analysis by Generative Synthesis}, 
  author={Qitao Zhao and Shubham Tulsiani},
  booktitle={NeurIPS},
  year={2024}
}