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- ---
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- license: mit
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: mit
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+ ---
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+ <p align="center">
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+ <img src="https://aim-uofa.github.io/PMLoss/assets/favicon.svg" alt="Logo" style="width: 70px; height: 70px; margin-right: 20px; margin-bottom: -30px;">
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+ <h1 align="center">Revisiting Depth Representations for Feed-Forward 3D Gaussian Splatting</h1>
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+ <p align="center">
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+ <a href="https://github.com/dc-walker">Duochao Shi*</a>
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+ .
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+ <a href="https://lhmd.top">Weijie Wang*</a>
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+
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+ <a href="https://donydchen.github.io">Donny Y. Chen</a>
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+
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+ <a href="https://steve-zeyu-zhang.github.io">Zeyu Zhang</a>
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+ <a href="https://jwbian.net/">Jia-Wang Bian</a>
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+ <a href="https://bohanzhuang.github.io">Bohan Zhuang</a>
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+
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+ <a href="https://cshen.github.io/">Chunhua Shen</a>
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+ </p>
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+ <h3 align="center"><a href="https://arxiv.org/abs/2506.05327">Paper</a> | <a href="https://aim-uofa.github.io/PMLoss/">Project Page</a> | <a href="https://github.com/aim-uofa/PM-Loss/">Code</a> </h3>
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+ <div align="center"></div>
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+ </p>
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+ <p align="center">
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+ <a href="">
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+ <img src="https://aim-uofa.github.io/PMLoss/assets/teaser.png" alt="Logo" width="100%">
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+ </a>
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+ </p>
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+
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+
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+ <p align="center">
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+ We introduce <strong>PM-Loss</strong>, a novel regularization loss based on a learned point map for feed-forward 3DGS, leading to more coherent 3D geometry and better rendering.
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+ </p>
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+
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+ ## Citation
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+ If you find our work useful for your research, please consider citing us:
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+
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+ ```bibtex
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+ @article{shi2025pmloss,
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+ title={Revisiting Depth Representations for Feed-Forward 3D Gaussian Splatting},
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+ author={Shi, Duochao and Wang, Weijie and Chen, Donny Y. and Zhang, Zeyu and Bian, Jiawang and Zhuang, Bohan and Shen, Chunhua},
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+ journal={arXiv preprint arXiv:2506.05327},
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+ year={2025}
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+ }
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+ ```
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+ ## Contact
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+ If you have any questions, please create an issue on this repository or contact at
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+ dcshi@zju.edu.cn
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+
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+ ## Acknowledgements
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+
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+ This project is developed with several fantastic repos: [VGGT](https://github.com/facebookresearch/vggt), [MVSplat](https://github.com/donydchen/mvsplat) and [DepthSplat](https://github.com/cvg/depthsplat). We thank the original authors for their excellent work.