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arXiv 2610.27712 · cs.CV · 2026-10-20

RLSplat: Resource-Linear Budget Control for Feed-forward 3D Gaussian Splatting

Injae Kim, Minseok Joo, Jihwan Park, Sehyung Kim, Minseong Bae, Hyunwoo J. Kim

Affiliation unverified

In latest · #321 Added on 2026-10-26

One-line takeaway

RLSplat is a budget-controllable feed-forward 3D Gaussian Splatting framework whose representation size, inference latency and peak memory all shrink linearly with the Gaussian budget, instead of predicting dense Gaussians and pruning them.

RLSplat 是可控预算的前馈 3D 高斯泼溅框架,高斯数量减少时,表示大小、推理延迟和峰值显存都随之线性下降,而不是像现有方法那样先预测稠密高斯再裁剪。

25HF upvotes
11GitHub stars
0Citations (Semantic Scholar)
40.4Buzz score

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About this data

Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-26.

The takeaway is written by AIMap from the abstract; the abstract itself is not reproduced — read the original.

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