SILSA: Sliding-Window Slice Latents for Topology-Preserving High-Resolution 3D Generation
[Widzenie komputerowe] Autorzy: Tianjiao Yu, Xinzhuo Li, Yifan Shen i 4 więcej
High-resolution 3D generation increasingly relies on voxel latents and multi-stage pipelines that first predict active structure and then synthesize local geometry. While effective, this design fragments continuous surfaces into many local tokens, inflates generation cost, and often weakens topological consistency for thin or highly connected shapes. We introduce SILSA, a topology-aware 3D generation framework that represents shapes with compact sliding-window slice latents. Instead of generating expensive voxel tokens, SILSA uses a fixed set of overlapping slices along the three canonical axes, where each token summarizes a local depth window to preserve cross-sectional continuity and support single-stage rectified-flow generation. A Slice VAE encodes oriented surface samples into multi-axis slice latents and reconstructs them with a sparse volumetric decoder, while a Volumetric Anchor…
- Kategoria arxiv
- cs.CV
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- Widzenie komputerowe