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Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
Code for SIGGRAPH 2020 paper "Nonlinear Color Triads" by Shugrina et al.
A PyTorch Library for Accelerating 3D Deep Learning Research
NVIDIA Kaolin Wisp is a PyTorch library powered by NVIDIA Kaolin Core to work with neural fields (including NeRFs, NGLOD, instant-ngp and VQAD).
Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer (NeurIPS 2019)
Repositories
14Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
A PyTorch Library for Accelerating 3D Deep Learning Research
Code for SIGGRAPH 2020 paper "Nonlinear Color Triads" by Shugrina et al.
NVIDIA Kaolin Wisp is a PyTorch library powered by NVIDIA Kaolin Core to work with neural fields (including NeRFs, NGLOD, instant-ngp and VQAD).
Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer (NeurIPS 2019)
:thought_balloon: Diffusion Probabilistic Models for 3D Point Cloud Generation (CVPR 2021)
Richer Convolutional Features for Edge Detection model in pytorch CVPR2017
Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
StyleGAN2-ADA - Official PyTorch implementation
StyleGAN2 with adaptive discriminator augmentation (ADA) - Official TensorFlow implementation
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