| --- |
| 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](https://neurips.cc/Conferences/2024). |
|
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| ### [Project Page](https://qitaozhao.github.io/SparseAGS) | [arXiv (Coming Soon)](https://qitaozhao.github.io/SparseAGS) |
|
|
| ## 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} |
| } |
| ``` |
