Nerfstudio Release gsplat 1.4

Michael Rubloff

Michael Rubloff

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D5 Render 3.1

People will be thrilled to learn that 2D Gaussian Splatting (2DGS) has officially been integrated into Nerfstudio’s gsplat. This feature had been an open pull request since June, with several rounds of contributions. The result of this collaborative effort is native support for 2DGS in gsplat, with a low VRAM overhead of approximately 4GB.

Additionally, pre-compiled Wheels for both Linux and Windows have been released and can be accessed here.

Although Gaussian Splatting did not originally support fisheye lenses, that changes today with the merging of an implementation for Fisheye-GS. Now, datasets captured with fisheye lenses are fully supported in gsplat. Another major addition is Fused Differentiable SSIM from Taming 3DGS, which offers additional training speed improvements.

Another smaller feature that I really like is the inclusion of a new camera movement named Ellipse, which mimics the circular camera trajectory around a scene.

The full changelog for 1.4 can be found below and on the gsplat Github page:

Highlights

  • Support 2DGS

  • Camera model: perspective, orthogonal, fish-eye

  • Start to support pre-built wheels (python 10)

What’s Changed

These updates highlight the strength of the research pipeline built on top of Nerfstudio. Several exciting pull requests are still open within the codebase, and they will continue to be merged into the main branch.

Nerfstudio and gsplat continue to be permissibly licensed with an Apache 2.0 license for commercial purposes. If you have been thinking about contributing, do it!

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Michael Rubloff

Written by Michael Rubloff

Michael is the Founder and Managing Editor of Radiancefields.com

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