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--- |
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title: SparseAGS |
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emoji: 🐠 |
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colorFrom: purple |
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colorTo: yellow |
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sdk: gradio |
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sdk_version: 5.7.1 |
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app_file: gradio_app.py |
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pinned: false |
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license: mit |
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--- |
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# SparseAGS |
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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) |
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## Citation |
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``` |
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@inproceedings{zhao2024sparseags, |
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title={Sparse-view Pose Estimation and Reconstruction via Analysis by Generative Synthesis}, |
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author={Qitao Zhao and Shubham Tulsiani}, |
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booktitle={NeurIPS}, |
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year={2024} |
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} |
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``` |
