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[16]DIST: Rendering Deep Implicit Signed Distance Function with Differentiable Sphere Tracing. Shaohui Liu1, Yinda Zhang, Songyou Peng, Boxin Shi, Marc Pollefeys, Zhaopeng Cui. CVPR 2020.code [17]Modular Primitives for High-Performance Differentiable Rendering. Samuli Laine, Janne Hellsten, Tero ...
Voxel grids Signed distance functions and level sets Depth images (2.5D) kaolin提供了有效的PyTorch操作,可在3D表示形式之间进行转换。尽管网格,点云和体素网格仍然是最流行的3D表示形式,但高岭土广泛支持符号距离函数(SDF),正交深度图(ODM)和RGB-D图像。 Kaolin将为加快3D DL研究的重要一步,但研发人员并不打...
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Currently, the (beta) release contains several processing functions for 3D deep learning on meshes, voxels, signed distance functions, and pointclouds. Loading of several popular datasets (eg. ShapeNet, ModelNet, SHREC) are supported out-of-the-box. We also implement several 3D conversion and ...
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