Shypd.aiThe largest open index of AI toolsdn-splatter is an open-source AI tool that implements depth and normal priors for Gaussian splatting models. It improves novel-view synthesis and mesh reconstruction using smartphone data.
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dn-splatter is an open-source project that integrates research papers (DN-Splatter and AGS-Mesh) to enhance Gaussian splatting models with depth and normal supervision. This leads to improved novel-view synthesis and more accurate mesh reconstruction, particularly when using data captured from smartphones (like iPhones). The tool provides pipelines for both DN-Splatter and AGS-Mesh, with AGS-Mesh offering advancements in depth and normal filtering strategies for better mesh quality. It supports various depth loss types, monocular or rendered depth supervision, and includes scripts for data preparation, such as generating pseudo ground truth normal maps and aligning monocular depth estimates. The project is compatible with Nerfstudio environments and offers installation via Conda/Pip or Pixi.
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