Connecting 3D research to USD content on a live USD stage rendered in NVIDIA Omniverse is easy with Kaolin Library. For example, currently rendered 3D models can be easily converted …
WhatsApp: +86 18221755073A PyTorch Library for Accelerating 3D Deep Learning Research - NVIDIAGameWorks/kaolin
WhatsApp: +86 18221755073kaolin.ops.mesh. packed_sample_points (vertices, first_idx_vertices, faces, num_faces_per_mesh, num_samples, areas = None) ¶ Uniformly sample points over the …
WhatsApp: +86 18221755073NVIDIA Kaolin library provides a PyTorch API for working with a variety of 3D representations and includes a growing collection of GPU-optimized operations such as modular differentiable …
WhatsApp: +86 18221755073With Kaolin v0.16.0, we introduce kaolin.physics module and integrate state-of-the art Simplicits method in kaolin.physics.simplicits that allows running physics simulation on any point …
WhatsApp: +86 18221755073Kaolin was investigated by means of thermogravimetric analysis. With the help of the measured TGA and c- DTA ® curves, various reactions of kaolin known from literature, …
WhatsApp: +86 18221755073Kaolin provides tutorials as ipython notebooks, docs pages and simple scripts. Note that the links point to the main branch and are not tied to the version. Here is a brief introduction to our …
WhatsApp: +86 18221755073Kaolin supports different batching strategies: Exact batching is the logical representation for homogeneous data. For instance, if you sample the same numbers of points from a batch of …
WhatsApp: +86 18221755073This directory contains sample meshes that might be useful across the project, in both tests and examples. These are simple test cases for stress-testing and prototyping and are not meant to …
WhatsApp: +86 18221755073NVIDIA Kaolin library provides a PyTorch API for working with a variety of 3D representations and includes a growing collection of GPU-optimized operations such as modular differentiable …
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