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Author

Muyu Xu

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Preprint Oct 2026

BudSplat: Feed-forward 3D Gaussian Splatting under a Rendering Budget

BudSplat is a compact feed-forward 3DGS framework that learns to keep the most valuable Gaussian primitives under a limited primitive count and has two novel designs, including a detail-aware importance score that is extracted from multi-level visual tokens, providing an explicit cue for regions where pruning is likely...

Mu-Yu Xu, Fangneng Zhan, Yu Wei et al. · 0 citations
#artificial intelligence Preprint Sep 2026

AVSplat: Dense-View Feed-Forward 3D Gaussian Splatting with Assist-View Preconditioning

This work presents AVSplat, a framework that turns additional views into reliable signals for both aggregation and representation, and restores positive view scaling where performance remains stable or improves as more input views are added, instead of degrading in the dense-view regime.

Muyu Xu, Fang-Neng Zhan, Yu Wei et al. · 0 citations

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