| --- |
| license: mit |
| --- |
| |
| # GPSToken: Gaussian Parameterized Spatially-adaptive Tokenization for Image Representation and Generation |
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| [arxiv version](https://arxiv.org/abs/2509.01109) |
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| [Zhengqiang Zhang](https://scholar.google.com.hk/citations?hl=zh-CN&user=UX26wSMAAAAJ)<sup>1,2</sup> | [Rongyuan Wu](https://scholar.google.com.hk/citations?hl=zh-CN&user=A-U8zE8AAAAJ)<sup>1,2</sup> | [Lingchen Sun](https://scholar.google.com/citations?hl=zh-CN&tzom=-480&user=ZCDjTn8AAAAJ)<sup>1,2</sup> | [Lei Zhang](https://scholar.google.com.hk/citations?hl=zh-CN&user=tAK5l1IAAAAJ)<sup>1,2,+</sup> |
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| <sup>1</sup> The Hong Kong Polytechnic University <sup>2</sup> OPPO Research Institute <sup>+</sup> Corresponding Author |
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| Please refer to [GPSToken](https://github.com/xtudbxk/GPSToken) for detailed instructions. |
|
|
| ## CITATION |
|
|
| ``` |
| @misc{zhang2025gpstokengaussianparameterizedspatiallyadaptive, |
| title={GPSToken: Gaussian Parameterized Spatially-adaptive Tokenization for Image Representation and Generation}, |
| author={Zhengqiang Zhang and Rongyuan Wu and Lingchen Sun and Lei Zhang}, |
| year={2025}, |
| eprint={2509.01109}, |
| archivePrefix={arXiv}, |
| primaryClass={cs.CV}, |
| url={https://arxiv.org/abs/2509.01109}, |
| } |
| ``` |
