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de233/AnchorSplat-20x
AnchorSplat-20x is a image-to-3d model from de233. Use it for the image-to-3d task on the model card, and read the license before you ship it in a product. It is set up for pytorch. The card lists the license as mit.
This repository hosts the released 20x checkpoint for AnchorSplat: Fast and Structure Consistent Detail Synthesis for Gaussian Splatting (ECCV 2026).
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Updated Jul 3, 2026
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From the Hugging Face model README
This repository hosts the released 20x checkpoint for AnchorSplat: Fast and Structure Consistent Detail Synthesis for Gaussian Splatting (ECCV 2026).
anchorsplat_20x.pthad05f8b965c002c1f62cea53e4ce10ed4804bbc433375afa5f411f236d1b79a3Download the checkpoint and place it at:
checkpoints/anchorsplat_20x.pth
or pass it explicitly:
WEIGHTS=/path/to/anchorsplat_20x.pth \
bash scripts/inference_external.sh examples/lgm_sample.ply outputs/lgm_sample_refined.ply lgm
AnchorSplat is designed for fast, generalizable, plug-and-play enhancement of low-quality 3D Gaussian Splatting assets. For external PLY inputs, please follow the input format and normalization instructions in the GitHub README.
@article{zhu2026anchorsplat,
title={AnchorSplat: Fast and Structure Consistent Detail Synthesis for Gaussian Splatting},
author={Zhu, Dexu and Shao, Jiangnan and Wang, Xiaofeng and Duan, Junxian and Cao, Jie and Zhu, Zheng and Huang, Huaibo},
journal={arXiv preprint arXiv:2607.01290},
year={2026},
eprint={2607.01290},
archivePrefix={arXiv},
primaryClass={cs.CV},
doi={10.48550/arXiv.2607.01290},
url={https://arxiv.org/abs/2607.01290}
}