v1.4.0

Highlights

• support 2DGS
• Camera model: perspective, orthogonal, fish-eye
• Start to support pre-built wheels (python 10)

What's Changed

• Update build workflow by @liruilong940607 in #369
• fix (apparant) typos in compression docs by @christian-helms in #370
• eval supports multi-GPU by @liruilong940607 in #371
• correct a typo to fix #373 by @jckhng in #383
• Add option to render camera trajectory as an ellipse. by @jefequien in #380
• Add an option to disable world space normalization in examples/simple_trainer.py by @JojiJoseph in #379
• Fix points projection when sampling patches for training by @nnop in #386
• fix reshape error when multi GPU bachsize > 1 not packed by @Ultized in #382
• Fix typo by @cr333 in #392
• Make download script work on Windows, too by @cr333 in #397
• Fused differentiable SSIM by @rahul-goel in #396
• 2DGS by @FantasticOven2 in #208
• citation.bib by @maturk in #400
• Implement Bilateral Guided Gaussian Splatting. by @jefequien in #291
• Bump fused-ssim commit by @liruilong940607 in #405
• Update rendering.py by @liruilong940607 in #407
• Update CITATION.bib by @cr333 in #410
• Make commands easier in README by @MrNeRF in #420
• Implement Fisheye-GS. by @jefequien in #398
• Publish precompiled wheels in Github release and add wheel index by @martinResearch in #365
• 1.4.0 by @liruilong940607 in #421
• fix workflow by @liruilong940607 in #422
• Workflow fix by @liruilong940607 in #423

New Contributors

• @christian-helms made their first contribution in #370
• @jckhng made their first contribution in #383
• @JojiJoseph made their first contribution in #379
• @nnop made their first contribution in #386
• @Ultized made their first contribution in #382
• @cr333 made their first contribution in #392
• @rahul-goel made their first contribution in #396
• @FantasticOven2 made their first contribution in #208
• @MrNeRF made their first contribution in #420
• @martinResearch made their first contribution in #365

Full Changelog: v1.3.0...v1.4.0

v1.3.0

Highlight

• Support 3DGS Compression
• Support orthographic projection
• Support TanksAndTemples Dataset
• Various Bug Fix

What's Changed

• Make sure the build directory exists. by @keunhong in #319
• docs: update README.md by @eltociear in #322
• Fix typo in examples/simple_viewer.py by @simo23 in #321
• Consolidate simple_trainer.py and simple_trainer_mcmc.py by @brentyi in #325
• Compressing gaussian splats by @jefequien in #309
• Simplify tyro usage in simple_trainer.py by @brentyi in #332
• Cleanup C/CUDA code for C users by @liruilong940607 in #333
• Patch to make Strategy compatible with splatfacto by @kerrj in #334
• Fix minor typo by @zhiguotang5 in #342
• correct distCoeffs of SIMPLE_RADIAL by @Master-cai in #337
• Add np.random.choice fallback for many Gaussians exceeding torch.multinomial limits by @soskek in #338
• data parser for t&t dataset by @liruilong940607 in #347
• Added orthographic projection by @VladislavZavadskyy in #349
• Fix bug related to refine_scale2d and add pause_refine_after_reset to default strategy by @jb-ye in #354
• tt compression script by @liruilong940607 in #357
• Update to 1.3.0 by @liruilong940607 in #366

New Contributors

• @keunhong made their first contribution in #319
• @simo23 made their first contribution in #321
• @zhiguotang5 made their first contribution in #342
• @Master-cai made their first contribution in #337
• @soskek made their first contribution in #338
• @VladislavZavadskyy made their first contribution in #349

Full Changelog: v1.2.0...v1.3.0

v1.2.0

Highlight

Multi-GPU distributed rasterization is supported! E.g. 4 GPUs could lead to more than 3x speedup as well as 3x less memory usage at the same time.

What's Changed

• [Docs] Evaluation metrics for mcmc, antialiased, and absgrad. by @maturk in #300
• Update requirements.txt by @liruilong940607 in #308
• Fix projection for images with non-centered camera (e.g. crops) by @JonathonLuiten in #305
• prevent race condition when JIT in multiprocess by @liruilong940607 in #312
• Support Multi-GPU training based on the paper "On Scaling Up 3D Gaussian Splatting Training" by @liruilong940607 in #253
• Update version.py by @liruilong940607 in #313

New Contributors

• @JonathonLuiten made their first contribution in #305

Full Changelog: v1.1.1...v1.2.0

v0.1.13

Full Changelog: v0.1.12...v0.1.13

v1.1.1

What's Changed

hot fix

Full Changelog: v1.1.0...v1.1.1

v1.1.0

Highlight

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

New Contributors

• @yifanlu0227 made their first contribution in #216
• @wuzirui made their first contribution in #217
• @opipari made their first contribution in #235
• @jefequien made their first contribution in #238
• @yzslab made their first contribution in #247
• @MasahiroOgawa made their first contribution in #251
• @fwilliams made their first contribution in #255
• @alexis-mmm made their first contribution in #284

Full Changelog: v1.0.0...v1.1.0

v1.0.0

A Major Update to V1.0.0

• Comparing to the official implementation, gsplat enables up to 4x less training memory footprint, and up to 2x less training time on Mip-NeRF 360 captures, and potential more on larger scenes.

• Support extremely large scene rendering, which is magnitudes faster than the official CUDA backend diff-gaussian-rasterization.

• Extra features, including batch rasterization, N-D feature rendering (faster), depth rendering, sparse gradient etc.

v0.1.12

What's Changed

• Add backward gradient for background by @KevinXu02 in #170
• enable doc versioning by @liruilong940607 in #185
• Fix version value for Sphinx by @brentyi in #191
• Improve numerical stability of _torch_impl.project_cov3d_ewa by @oseiskar in #182
• Update project_pix to use eps by @SimonF24 in #192
• create JIT compilation configs if necessary by @ychfan in #164

New Contributors

• @KevinXu02 made their first contribution in #170
• @SimonF24 made their first contribution in #192
• @ychfan made their first contribution in #164

Full Changelog: v0.1.11...v.0.1.12

v0.1.11

What's Changed

• Fast SH implementation by @jb-ye in #165
• return result array for lower sh degrees by @YertleTurtleGit in #171
• Implement AbsGS by @liruilong940607 in #166

New Contributors

• @YertleTurtleGit made their first contribution in #171

Full Changelog: v0.1.10...v0.1.11

v0.1.10

What's Changed

• Fix missing +0.5 in calculating uv coordinate by @jb-ye in #151
• Check for normalized quats. by @Mxbonn in #155

New Contributors

• @Mxbonn made their first contribution in #155

Full Changelog: v0.1.9...v0.1.10