xiaohaipeng Goto Github PK

pixel2style2pixel

Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation"

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

pytorch-segmentation-toolbox

PyTorch Implementations for DeeplabV3 and PSPNet

pytorch-slim-cnn

A pytorch implementation of SlimCNN for Facial Attribute Classification : https://arxiv.org/abs/1907.02157

real-esrgan

Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.

rewriting

Rewriting a Deep Generative Model, ECCV 2020 (oral). Interactive tool to directly edit the rules of a GAN to synthesize scenes with objects added, removed, or altered. Change StyleGANv2 to make extravagant eyebrows, or horses wearing hats.

sc-fegan

SC-FEGAN : Face Editing Generative Adversarial Network with User's Sketch and Color

sd-akashic

A compendium of informations regarding Stable Diffusion (SD)

sean

SEAN: Image Synthesis with Semantic Region-Adaptive Normalization (CVPR 2020, Oral)

sefa

[CVPR 2021] Closed-Form Factorization of Latent Semantics in GANs

semantic-segmentation

Nvidia Semantic Segmentation monorepo

semantic-segmentation-pytorch

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

semseg

Semantic Segmentation in Pytorch

smplx

SMPL-X

stable-diffusion

stable-diffusion-webui

Stable Diffusion web UI

stit

stylegan-encoder

StyleGAN Encoder - converts real images to latent space

stylegan-nada

style with clip

tensorflow-gans

各类GAN综合在一起，借鉴了hwalsuklee大神的

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

ugatit-pytorch

Official PyTorch implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation

vgg19compression

Elementary compression using pruning and squeeze net

wct2

Software that can perform photorealistic style transfer without the need of any post-processing steps.