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View Code? Open in Web Editor NEW[ICLR-2023] Rarity Score : A New Metric to Evaluate the Uncommonness of Synthesized Images
[ICLR-2023] Rarity Score : A New Metric to Evaluate the Uncommonness of Synthesized Images
TL;DR: I am a research intern from KEG (Knowledge Engineer Group) in Tsinghua University. I wish to utilize Rarity Score in my research to evaluate image generation models. So, I kindly request access to the 30k Real Image Dataset as Approximation to Real Manifold mentioned in your paper.
Dear Jiyeon Han, Hwanil Choi, Yunjey Choi, Junho Kim, Jung-Woo Ha, and Jaesik Choi,
I am a research intern from KEG (Knowledge Engineer Group) in Tsinghua University.
I recently came across your paper titled "Rarity Score: A New Metric to Evaluate the Uncommonness of Synthesized Images" and was intrigued by your research. Specifically, I wish to utilize Rarity Score in my research to evaluate image generation models, but I have no suitable dataset to simulate the real manifold.
Therefore, I am interested in the dataset of 30k real images that you used for simulating the real manifold, as mentioned in the paper, and I kindly request access to this dataset. It would greatly contribute to my research on evaluating image generation models. I assure you that I will handle the dataset responsibly and comply with any licensing or usage requirements.
Thank you for considering my request. I appreciate your valuable contributions to the field.
Best regards,
Shawn Yuxuan Tong
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