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Author

Raoul de Charette

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2 papers indexed here

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Preprint Oct 2026

KoalaGS: Complexity-Aware Continuous Level of Detail for Gaussian Splatting

Deploying a trained 3D Gaussian Splatting scene under shrinking compute budgets requires one primitive set to remain effective when rendered at smaller prefixes. In this continuous level of detail (LoD) setting, the challenge is to decide which Gaussians should retain capacity as the budget decreases. A pilot study on...

Radu Beche, Raoul de Charette · 0 citations
Preprint Sep 2026

SSC-Priors: Exploring Semantic and Visibility Priors to Boost Lidar Semantic Scene Completion

It is established that high-quality semantic priors are a primary driver of semantic gains (mIoU), and that the SSC model can be trained just once with ground-truth semantics and then exploited without retraining using any segmenter.

T. Martyniuk, J. Seele, Alexandre Boulch et al. · 0 citations

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