v.0.1.12

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

v0.1.9

What's Changed

• Small CUDA changes for nd rasterization by @kerrj in #144
• Remove redundant projection matrix by @oseiskar in #97
• Approximate view matrix gradient for pose optimization by @oseiskar in #127

New Contributors

• @oseiskar made their first contribution in #97

Full Changelog: v0.1.8...v0.1.9

v0.1.8

What's Changed

Some quality improvements because of:

• Fix v_mean3d in project_g and v_conic calculation in *rasterize_backward by @jb-ye in #139
• add backprop grad of opacity compensation by @jb-ye in #140

Full Changelog: v0.1.7...v0.1.8

v0.1.7

What's Changed

• Eval table by @AdamRashid96 in #134
• add device guard by @liruilong940607 in #135
• Fix backprop grad of cov2d / scales and unit tests by @jb-ye in #136

New Contributors

• @AdamRashid96 made their first contribution in #134

Full Changelog: v0.1.6...v0.1.7

v0.1.6

What's new

The python interface for tile_bounds has been abstracted away, and instead project and rasterize take in a block_width parameter controlling the tile size as well as the CUDA block size. CUDA was refactored to allow dynamic block sizes, which enables ND rasterization speedups by taking better advantage of shared memory.

v0.1.5

What's new?

• Improved pytorch implementation of project_gaussians inside _torch_impl.py
• Screen space blur compensation for rasterizing tiny gaussians from Mip-Splatting
• Bugfixes

v0.1.4

What's Changed

Fix a major bug in rasterization since version 0.1.0. (Issue and PR)

v0.1.3

What's changed

• Alpha rendering and supervision with return_alpha flag in rasterize.py
• Fix bug with 0 gaussians in view