#3D models

The nvdiffrec project focuses on the joint optimization of 3D topology, materials, and lighting using multi-view images. Leveraging NVIDIA's Kaolin for enhanced 3D deep learning, this project has introduced a slangpy-based renderutils library for cleaner code and now supports FlexiCubes isosurfacing. Compatible with Python 3.6+, VS2019+, CUDA 11.3+, and PyTorch 1.10+, it is optimized for high-end NVIDIA GPUs and offers configurable 3D model extraction procedures. Explore installation, dataset setup, and example executions in the guide.

This repository contains various 3D models in glTF formats, showcasing options with separate, embedded, and binary resources to enhance the 3D modeling ecosystem. It is now archived; however, new contributions should be directed to the glTF-Sample-Assets repository. Resources for downloading include Sketchfab, Poimandres Market, and Poly Haven, which offer open access glTF models. Additional model sources comprise Khronos glTF Asset Generator, Cesium demos, and Smithsonian open access models. For contributions, submit pull requests with model data and licensing details, contributing to the global 3D model development.