Single class few-shot image synthesis
1 papers with code • 0 benchmarks • 0 datasets
The goal of single class few-shot image synthesis task is to learn a generative model that can generate samples with visual attributes from as few as two or more input images images belonging to the same class.
Benchmarks
These leaderboards are used to track progress in Single class few-shot image synthesis
Most implemented papers
DEff-GAN: Diverse Attribute Transfer for Few-Shot Image Synthesis
rajiv1990/DEff-GAN-Data-Efficient-GAN
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While single image methods can synthesize image samples with diversity, they do not model multiple images or capture the inherent relationship possible between two images.
