Pete43's repositories
blender
Official mirror of Blender
CodingInterviewChinese2
《剑指Offer》第二版源代码（Clone from: https://github.com/zhedahht/CodingInterviewChinese2）
cs231n_spring_2017_assignment
My implementations of cs231n 2017
DeepIllumination
Code and examples from our paper "Deep Illumination: Approximating Dynamic Global Illumination with Generative Adversarial Networks," by Manu Mathew Thomas and Angus Forbes
dls-example
Introduction of usage deep learning service of huawei cloud
fast-Non-local-Means-and-Asymptotic-Non-local-Means
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 performed a revisit for NLM from two aspects as follows: 1. To alleviate the high computational complexity problem of NLM, a fast algorithm was constructed, which was based on cross-correlation and fast Fourier transform; 2. NLM always blur structures and textures during the noise removal, especially in the case of strong noise. To solve this problem, an Asymptotic Non-Local Means image denoising algorithm is put forward, which uses the property of noise variance to control the filtering parameters. Numerical experiments illustrate that the fast algorithm is 27 times faster than classical implementation with standard parameter configuration, and the ANLM uniformly outperforms classical NLM, in terms of both PSNR and visual effects.
GANs-collections-tf2.0_keras-eager_mode
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
generative_adversarial_networks_101
Keras implementations of Generative Adversarial Networks. GAN, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.
glm
OpenGL Mathematics (GLM)
glTF
glTF – Runtime 3D Asset Delivery
glTF-Sample-Models
glTF Sample Models
GravityEngine
my dx12 playground
keras-mnist-tutorial
For a mini tutorial at U of T, a tutorial on MNIST classification in Keras.
layerdenoise
Neural Denoising with Layer Embeddings
lighthouse2
Lighthouse 2 framework for real-time ray tracing
npbg
Neural Point-Based Graphics
NvidiaAIDenoiser
A simple implementation of Nvidia's AI denoiser
OpenGraphic
Graphic Engine & Game Engine lists
Pixel2Mesh
Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images. In ECCV2018.
pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
pytorch-generative-model-collections
Collection of generative models in Pytorch version.
Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
raytracing.github.io
Main Repo / Main Web Site
sbmc
Sample-based Monte Carlo Denoising using a Kernel-Splatting Network [Siggraph 2019]
stb
stb single-file public domain libraries for C/C++
Urho3D
Cross-platform 2D and 3D game engine.
vgg_loss
Implementation of Neural Rerendering in the Wild - CVPR 2019.