Graphic Engine & Game Engine lists

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

Sample-based Monte Carlo Denoising using a Kernel-Splatting Network [Siggraph 2019]

Neural Denoising with Layer Embeddings

Lighthouse 2 framework for real-time ray tracing

Cross-platform 2D and 3D game engine.

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

Official mirror of Blender

Main Repo / Main Web Site

Neural Point-Based Graphics

Collection of generative models in Pytorch version.

my dx12 playground

A simple implementation of Nvidia's AI denoiser

Non-Local means denoising (NLM) algorithm is a milestone algorithm in the field of image processing. The proposal of NLM has opened up the non-local method which has a deep influence. This paper pe…

This repository implements all kinds of GAN-models based on tensorflow2.0 keras API including GAN, CGAN, WGAN, WGAN_GP, VAE, CVAE, LSGAN, infoGAN, EBGAN, BEGAN, ACGAN

glTF – Runtime 3D Asset Delivery

OpenGL Mathematics (GLM)

stb single-file public domain libraries for C/C++

glTF Sample Models

Implementation of Neural Rerendering in the Wild - CVPR 2019.

Blockwise Multi-Order Feature Regression for Real-Time Path Tracing Reconstruction

Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images. In ECCV2018.

Keras implementations of Generative Adversarial Networks. GAN, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

Code and examples from our paper "Deep Illumination: Approximating Dynamic Global Illumination with Generative Adversarial Networks," by Manu Mathew Thomas and Angus Forbes

For a mini tutorial at U of T, a tutorial on MNIST classification in Keras.

Introduction of usage deep learning service of huawei cloud

《剑指Offer》第二版源代码（Clone from: https://github.com/zhedahht/CodingInterviewChinese2）

My implementations of cs231n 2017