Pinned Repositories
AFNetworking
A delightful iOS and OS X networking framework
ArtificialIntelligence
人工智能经典算法Python实现
attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
Awesome-ECCV2020-Low-Level-Vision
A Collection of Papers and Codes for ECCV2020 Low Level Vision or Image Reconstruction
BasicSR
Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, etc. Also support StyleGAN2, DFDNet.
celebA-HQ-dataset-download
Download CelebA-HQ dataset easily ! Create with docker or download from Google Drive.
cfg-gan-pt
CFG-GAN (Composite Functional Gradient learning of GAN) in pyTorch
Chart.js
Simple HTML5 Charts using the <canvas> tag
cnn-explainer
Learning Convolutional Neural Networks with Interactive Visualization.
Conv-MPN
Conv-MPN: Convolutional Message Passing Neural Network for Structured Outdoor Architecture Reconstruction, CVPR2020
destructive-observer's Repositories
destructive-observer/BasicSR
Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, etc. Also support StyleGAN2, DFDNet.
destructive-observer/CrossViT-pytorch
Implementation of CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification
destructive-observer/DCGAN-LSGAN-WGAN-GP-DRAGAN-Pytorch
DCGAN LSGAN WGAN-GP DRAGAN PyTorch
destructive-observer/DCGAN-tensorflow
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
destructive-observer/ESRGAN
ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.
destructive-observer/Gan
a gan network for study
destructive-observer/gansformer
Generative Adversarial Transformers
destructive-observer/guided-diffusion
destructive-observer/housegan
House-GAN: Relational Generative Adversarial Networks for Graph-constrained House Layout Generation
destructive-observer/icfg
improved cfg
destructive-observer/icfg_diffusion
destructive-observer/ImageProcessingTransformer
Third party Pytorch implement of Image Processing Transformer (Pre-Trained Image Processing Transformer arXiv:2012.00364v2)
destructive-observer/liif
Learning Continuous Image Representation with Local Implicit Image Function
destructive-observer/pytorch-CycleGAN-and-pix2pix
Image-to-Image Translation in PyTorch
destructive-observer/pytorch-fid
Compute FID scores with PyTorch.
destructive-observer/PyTorch-progressive_growing_of_gans
PyTorch implementation of Progressive Growing of GANs for Improved Quality, Stability, and Variation.
destructive-observer/PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
destructive-observer/Pytorch_Transformer_GAN
destructive-observer/sefa
[CVPR 2021] Closed-Form Factorization of Latent Semantics in GANs
destructive-observer/Self-Attention-GAN
Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)
destructive-observer/SinGAN
Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
destructive-observer/siren
Official implementation of "Implicit Neural Representations with Periodic Activation Functions"
destructive-observer/slambook
destructive-observer/study_resources
study rsources of model and engineering
destructive-observer/stylegan2-pytorch
Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
destructive-observer/The-Art-of-Linear-Algebra
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
destructive-observer/UltraSR-Arbitrary-Scale-Super-Resolution
[Preprint] UltraSR: Spatial Encoding is a Missing Key for Implicit Image Function-based Arbitrary-Scale Super-Resolution, 2021
destructive-observer/vision_transformer
destructive-observer/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
destructive-observer/WGAN-VGG
Pytorch Implementation of Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss