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187.28FIDDiFa

Updated 8mo ago

Evaluation results

Method	Links
DiFa2022.07		187.28
FSGAN2022.07		288.75

State-of-the-art paper

DiFa

Towards Diverse and Faithful One-shot Adaption of Generative Adversarial Networks

Dataset

Amedeo

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Related benchmarks

Domain Adaptation on FFHQ to Amedeo Modigliani Domain Adaptation on FFHQ to Fernand Leger Domain Adaptation on FFHQ to Raphael Domain Adaptation on FFHQ One-shot Domain Adaptation 1.0 (val)Image-to-Image Translation on Sketches

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