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Paper · arXiv

Beyond Uniform Local Isometry and Topology: FactoMap for Disentangled Representations

Many disentanglement methods represent generative factors using Euclidean product coordinates, although the underlying factor spaces may wrap, collapse, or have position-dependent geometry. We introduce factor-space structure, combining factor domains, generator-induced identifications, and position-dependent scales to distinguish topologically equivalent spaces with different factor geometries. We show that statistically independent factors need not be geometrically separable: hue and scale produce effects that grow at different rates, yielding anisotropy that no fixed rescaling removes. We propose the Factor-Space Topographic Map (FactoMap), which learns interpretable prototypes indexed...

AuthorsSohini Gupta, Bahareh Tolooshams
Primary categorycs.LG
Published25 August 2026
Last updated at source25 August 2026
cs.LGcs.AI
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