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Less Decoder is More Encoder: Geometric Representation Learning from Novel View Synthesis
SNAP uses a pose-conditioned local decoder and latent-space reconstruction objective for self-supervised geometric representation learning via novel view synthesis, yielding transferable multi-view features competitive with supervised methods.
Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026
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AI panel: 16 of 20 reviewers recommend it
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