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