7 citations · 9 across the 5 of their papers we have counts for
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cs.CV2026
Matryoshka Gaussian Splatting
Zhilin Guo, Boqiao Zhang, Hakan Aktas +11
The ability to render scenes at adjustable fidelity from a single model, known as level of detail (LoD), is crucial for practical deployment of 3D Gaussian Splatting (3DGS). Existi…
cs.CV2026
Efficient Camera-Controlled Video Generation of Static Scenes via Sparse Diffusion and 3D Rendering
Jieying Chen, Jeffrey Hu, Joan Lasenby +1
Modern video generative models based on diffusion models can produce very realistic clips, but they are computationally inefficient, often requiring minutes of GPU time for just a…
cs.CV2024★ 7 cited
gsplat: An Open-Source Library for Gaussian Splatting
Vickie Ye, Ruilong Li, Justin Kerr +8
gsplat is an open-source library designed for training and developing Gaussian Splatting methods. It features a front-end with Python bindings compatible with the PyTorch library a…