UniqAI/gaussian-splatting
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@ -88,6 +88,8 @@ The optimizer uses PyTorch and CUDA extensions in a Python environment to produc
- 24 GB VRAM (to train to paper evaluation quality) - 24 GB VRAM (to train to paper evaluation quality)
- Please see FAQ for smaller VRAM configurations - Please see FAQ for smaller VRAM configurations
PS: 24 GB VRAM is not the minimum configuration. When using `--data_device cpu` to lazy load image, 8GB VRAM is already sufficient to handle most scenarios.
### Software Requirements ### Software Requirements
- Conda (recommended for easy setup) - Conda (recommended for easy setup)
- C++ Compiler for PyTorch extensions (we used Visual Studio 2019 for Windows) - C++ Compiler for PyTorch extensions (we used Visual Studio 2019 for Windows)