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3dnative,object,(autogressive,next token prediction paradigm),MeshXL: Neural Coordinate Field for Generative 3D Foundation Models
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README.md

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- [CLAY: A Controllable Large-scale Generative Model for Creating High-quality 3D Assets](https://arxiv.org/abs/2406.13897), Zhang et al., TOG 2024 | [github](https://github.com/CLAY-3D/OpenCLAY) | [bibtex](./citations/clay.txt)
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- [L4GM: Large 4D Gaussian Reconstruction Model](https://arxiv.org/abs/2406.10324), Ren et al., arxiv 2024 | [bibtex](./citations/l4gm.txt)
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- [Efficient Large-Baseline Radiance Fields, a feed-forward 2DGS model](https://arxiv.org/abs/2407.04699v1), Chen et al., ECCV 2024 | [github](https://github.com/autonomousvision/LaRa) | [bibtex](./citations/LaRa.txt)
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- [MeshXL: Neural Coordinate Field for Generative 3D Foundation Models](https://arxiv.org/abs/2405.20853), Chen et al., arXiv 2024 | [github](https://github.com/OpenMeshLab/MeshXL) | [bibtex](./citations/meshXL.txt)
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citations/meshXL.txt

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@article{chen2024meshxl,
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title={MeshXL: Neural Coordinate Field for Generative 3D Foundation Models},
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author={Chen, Sijin and Chen, Xin and Pang, Anqi and Zeng, Xianfang and Cheng, Wei and Fu, Yijun and Yin, Fukun and Wang, Yanru and Wang, Zhibin and Zhang, Chi and others},
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journal={arXiv preprint arXiv:2405.20853},
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year={2024}
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}

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