7 citations · 9 across the 5 of their papers we have counts for
6 papers
S2PD: Serial-to-Parallel Diffusion for Physically and Logically Consistent Video Generation
Jeffrey Hu, Daniel Olmeda Reino, Ayush Tewari
Bidirectional video diffusion models denoise entire videos in parallel, yet when trained on effectively unlimited in-distribution data from procedural generators, continue to viola…
Intrinsic decomposition and editing of 3D Gaussian splats
Alexandre Lanvin, Jeffrey Hu, Simon Lucas +2
Intrinsic decomposition which expresses image colors as the product of diffuse albedo and shading, possibly augmented with view-dependent residuals has a long history in image edit…
Editable Physically-based Reflections in Raytraced Gaussian Radiance Fields
Yohan Poirier-Ginter, Jeffrey Hu, Jean-François Lalonde +1
Radiance fields such as 3D Gaussian Splatting allow real-time rendering of scenes captured from photos. They also reconstruct most specular reflections with high visual quality, bu…
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…
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…
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…