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Paper · arXiv

TriFold: Folding irregular 3D Gaussians into structured latents for 3D Scene Generation

Recent progress in 3D generation has motivated growing interest in compact generative representations of complex 3D scenes. For native 3D Gaussian scenes, however, learning such representations remains challenging due to widely varying primitive counts, nonuniform spatial density, and differences in geometry and appearance even among spatially neighboring primitives. In this work, we introduce TriFold, a native 3D Gaussian VAE that encodes Gaussian scenes into a fixed-layout triplane latent and jointly reconstructs their geometry and appearance. The key insight is to impose structural regularity on the latent space while preserving the spatial adaptivity of the underlying Gaussians. Durin...

AuthorsYun Wang, Chiyu Wang, Fan Jiang et al.
Primary categorycs.CV
Published16 October 2026
Last updated at source19 October 2026
cs.CV
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