![]() ![]() Make sure to install Conda before proceeding. ![]() We recommend using conda to manage dependencies. You can find more information about installing CUDA here. ![]() This library has been tested with version 11.3. Installation: Setup the environment PrerequisitesĬUDA must be installed on the system. UpdatesĢ023.06.16: Add bakedangelo which combines BakedSDF with numerical gridents and progressive training of Neuralangelo.Ģ023.06.16: Add neus-facto-angelo which combines neus-facto with numerical gridents and progressive training of Neuralangelo.Ģ022.12.28: Support Neural RGB-D Surface Reconstruction. For example, Mono-NeuS applies the idea from MonoSDF to NeuS, and Geo-VolSDF applies the idea from Geo-NeuS to VolSDF. Thanks to the unified and modular implementation, SDFStudio makes it easy to transfer ideas from one method to another. It further integrates recent advances in the area such as the utillization of monocular cues (MonoSDF), geometry regularization (UniSurf) and multi-view consistency (Geo-NeuS). feature grids, and multiple point sampling strategies such as surface-guided sampling as in UniSurf, and Voxel-surface guided sampling from NeuralReconW. SDFStudio also supports various scene representions, such as MLPs, Tri-plane, and Multi-res. We provide a unified implementation of three major implicit surface reconstruction methods: UniSurf, VolSDF, and NeuS. SDFStudio is a unified and modular framework for neural implicit surface reconstruction, built on top of the awesome nerfstudio project. A Unified Framework for Surface Reconstruction Project Page | Documentation | Datasets | Examples ![]()
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