SOURCE-LINKED INTELLIGENCE
TV-SGS: Gaussian Splatting with Geometric Information Propagation via Tensor Voting under sparse views
Gaussian Splatting has been effective in inferring scene representations that excel in novel view synthesis. Multiple splats cooperate seamlessly to synthesize the pixels of novel views and are jointly optimized even though they only affect each other indirectly, via pixels they project to in common. We present an approach that enables direct communication among splats to enhance the geometric structures they form in 3D. This is accomplished by Tensor Voting, which was originally designed to infer structures from noisy inputs and has been adapted here to provide supervision during test-time op
Read original source ↗ Open in workspace
- recordType
- paper
- region
- Global
Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-07T16:40:51.000Z
First collected: 2026-09-20T20:32:20.942Z. This is not the publication date.