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README.md
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```
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import torch
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from diffusers import PixArtAlphaPipeline
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offset += 10
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```
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---
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license: cc
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---
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<div align="center">
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## 🚀 LR0.FM (ICLR-25 🎉)<br> [webpage](https://ucf-crcv.github.io/lr0.fm/) | [paper](https://arxiv.org/abs/2502.03950) | [video](https://recorder-v3.slideslive.com/#/share?share=99927&s=b52e48b7-e501-45c7-b7c9-b1d415e77f1e) | [results]() | [weights]()<br><br> <p align="left">💡 Highlights</p>
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</div>
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Captions randomly sampled from [Conceptual Captions](https://github.com/google-research-datasets/conceptual-captions), and the diffusion model [PIXART-α](https://github.com/PixArt-alpha/PixArt-alpha) generates synthetic dataset for it.
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7,000 randomly sampled captions.
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```
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import torch
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from diffusers import PixArtAlphaPipeline
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offset += 10
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```
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---
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```bibtex
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@inproceedings{
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pathak2025lrfm,
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title={{ LR0.FM: Low-Res Benchmark and Improving robustness for Zero-Shot Classification in Foundation Models} },
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author={Priyank Pathak and Shyam Marjit and Shruti Vyas and Yogesh S Rawat},
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booktitle={The Thirteenth International Conference on Learning Representations},
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year={2025},
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url={https://openreview.net/forum?id=AsFxRSLtqR}
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}
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@article{pathak2025lr0,
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title={LR0. FM: Low-Resolution Zero-shot Classification Benchmark For Foundation Models},
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author={Pathak, Priyank and Marjit, Shyam and Vyas, Shruti and Rawat, Yogesh S},
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journal={arXiv preprint arXiv:2502.03950},
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year={2025}
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}
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```
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---
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---
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license: cc
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---
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