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by @danabra.mov
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by @danabra.mov
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by @jimpick.com
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by @atsui.org
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Leveraging a conditional generative model, our model uncovers and learns shape symmetry and part interchangeability. As a result, it generalizes across categories and datasets, achieving SoTA performance across multiple benchmarks.