Roughly five weeks after the release of gsplat 1.0, the Berkeley based team are back with a new update to their Gaussian Splatting method, gsplat.

This release comes with several updates, with the highlight being able to choose the densification method utilized. Users will be able to pick from the default method, absgrad, or MCMC.

New users will also be happy to know that a guide to installing gsplat on Windows is also contained in this update and can now be found on the ReadMe page of gsplat.

For a full look at the changelog, please see below:

Multiple densification strategies are now supported in gsplat, including

• DefaultStrategy(): The original 3DGS densification process.

• DefaultStrategy(absgrad=True): Densification process from "AbsGS: Recovering Fine Details for 3D Gaussian Splatting"

• MCMCStrategy(). Densification process from "3D Gaussian Splatting as Markov Chain Monte Carlo"

What's Changed

• Update 3DGS examples to use the latest nerfview from pypi by @hangg7 in #206

• docs: update README.md by @eltociear in #210

• Added a guidance for installing gsplat on Windows by @KevinXu02 in #213

• Minor fix for _QuatScaleToCovarPreci back with sparse grad by @liruilong940607 in #214

• Fix wrong description in rasterization API doc by @yifanlu0227 in #216

• support 2^n+1 channels for rasterize_to_pixels by @liruilong940607 in #218

• workaround for n-dim rendering with n>32 by @wuzirui in #217

• Minor fix for _RasterizeToPixels back to avoid NaNs by @opipari in #235

• clean up the shape of the colors by @liruilong940607 in #228

• static shared mem -> dynamic shared mem by @liruilong940607 in #229

• updating background for different rendering modes [D, ED, RGB+D, RGB+… by @vye16 in https://github.com//pull/240

• Fix max_range in _torch_impl._rasterize_to_pixels() by @liruilong940607 in #242

• Implement 3DGS-MCMC in gsplat. by @jefequien in #238

• sqrt int to float by @liruilong940607 in #246

• Clamp ratios in MCMC's compute_relocation by @yzslab in #247

• add poetry files, and fix numpy error and no data error. by @MasahiroOgawa in #251

• Separate C source into many translation units by @fwilliams in #255

• Fwilliams/fix headers and ninja by @fwilliams in #256

• template everything but don't actually support multiple precisions yet by @fwilliams in #259

• fix glm path in JIT building by @liruilong940607 in #260

• Fwilliams/atomics by @fwilliams in #261

• set the MAX_JOBS to 10 if not set. by @liruilong940607 in #262

• float3 -> vec3; float2 -> vec2; by @liruilong940607 in #267

• Start adding support for double, float16, and bfloat16 by @fwilliams in #270

• fix test_fully_fused_projection_packed test by @liruilong940607 in #289

• Add optional masks in rasterize_to_pixels() to support Grendel by @alexis-mmm in #284

• Abstracting out the GS heuristics into a Strategy class by @liruilong940607 in #278

• Bump to 1.1.0 by @liruilong940607 in #290

Nerfstudio remains open-sourced and Apache 2.0 licensed, so if you're thinking about contributing, you should do it!