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title

DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data

description

We generate a new benchmark of synthetic image triplets that span a wide range of mid-level variations, labeled with human similarity judgments. The dots below each image indicate which image is consi

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author

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2026-02-28 17:05:19

raw text

DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data NeurIPS 2023 Spotlight Stephanie Fu * 1 Netanel Y. Tamir * 2 Shobhita Sundaram * 1 Lucy Chai 1 Richard Zhang 3 Tali Dekel 2 Phillip Isola 1 1 2 3 * Equal contribution, order decided by random seed Arxiv Supplementary Material Code & Data Colab Blog Post Explore the Dataset! Bibtex Which image, A or B, is most similar to the reference? We generate a new benchmark of synthetic image triplets that span a wide range of mid-level variations, labeled with human similarity judgments. The dots below ...

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