GaussianSeed: Hierarchical Gaussian Seeding for High-Resolution 3D Occupancy Prediction
Vision-centric 3D occupancy prediction provides dense scene representations essential for autonomous driving and robotic navigation, yet existing methods struggle to scale to high voxel resolutions due to prohibitive computational costs. To address this, we introduce GaussianSeed, a progressive multi-scale Gaussian occupancy prediction framework that organizes primitives into a coarse-to-fine hierarchy. Benefiting from this hierarchical design, GaussianSeed effectively circumvents the memory bottlenecks inherent in dense representations, successfully scaling to a $0.1\text{m}$ spatial resoluti
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- FuzzyOverlapping authors or contributors · 62%bytedance/deer-flow →
“Shared author/contributor keys: wang”
- FuzzyOverlapping authors or contributors · 62%ray-project/ray →
“Shared author/contributor keys: wang”
- FuzzyOverlapping authors or contributors · 62%modular/modular →
“Shared author/contributor keys: liu”
- LinkedLinked via arxiv author · 85%Xinzhuo Li →
“GaussianSeed: Hierarchical Gaussian Seeding for High-Resolution 3D Occupancy Prediction”
- LinkedLinked via arxiv author · 85%Xianghui Pan →
“GaussianSeed: Hierarchical Gaussian Seeding for High-Resolution 3D Occupancy Prediction”
- LinkedLinked via arxiv author · 85%Jiayuan Du →
“GaussianSeed: Hierarchical Gaussian Seeding for High-Resolution 3D Occupancy Prediction”
- LinkedLinked via arxiv author · 85%Yiwei Wei →
“GaussianSeed: Hierarchical Gaussian Seeding for High-Resolution 3D Occupancy Prediction”
- LinkedLinked via arxiv author · 85%Liuyi Wang →
“GaussianSeed: Hierarchical Gaussian Seeding for High-Resolution 3D Occupancy Prediction”