GS-Voxel: Fitting-Free Structured Latents for Large-Scale 3DGS Generation
Many scalable latent 3D generators operate on structured tensors, whereas pre-optimized 3D Gaussian Splatting (3DGS) reconstructions are unordered, spatially irregular, and vary widely in primitive count. We present GS-Voxel, a fitting-free structured latent framework, and evaluate it for large-scale aerial 3D Gaussian scene generation. GS-Voxel deterministically converts a compatible pre-optimized 3DGS reconstruction into sparse active voxels without additional per-scene optimization, retaining the sub-voxel positions and rendering attributes of the selected primitives. A GS-specific factoriz
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- LinkedLinked via arxiv author · 85%Ming Qian →
“GS-Voxel: Fitting-Free Structured Latents for Large-Scale 3DGS Generation”
- LinkedLinked via arxiv author · 85%Zijian Wang →
“GS-Voxel: Fitting-Free Structured Latents for Large-Scale 3DGS Generation”
- LinkedLinked via arxiv author · 85%Minchao Sun →
“GS-Voxel: Fitting-Free Structured Latents for Large-Scale 3DGS Generation”
- LinkedLinked via arxiv author · 85%Jincheng Xiong →
“GS-Voxel: Fitting-Free Structured Latents for Large-Scale 3DGS Generation”
- LinkedLinked via arxiv author · 85%Baochang Zhang →
“GS-Voxel: Fitting-Free Structured Latents for Large-Scale 3DGS Generation”