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arXiv Computer Vision By William Koch, Amogh Joshi, Cyrus Vachha, Cheng Zheng, Felix Heide

SCION: Scene Composition with Instanced Neural Primitives

Read the original on arXiv Computer Vision →

SCION introduces a hierarchical compositional scene representation that replaces independent Gaussians with a compact vocabulary of reusable primitives and lightweight world-space instances. By jointly optimizing discrete and continuous scene parameters, SCION achieves high-quality reconstructions at a small size (≈1.2 MB) and outperforms existing Gaussian compression methods in rate‑distortion. The approach enables instance‑level editing and animation without retraining, demonstrating that neural scene representations can discover reusable parts instead of memorizing each element separately.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computer Vision.

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