ysm2000's repositories
BigGAN-PyTorch
The author's officially unofficial PyTorch BigGAN implementation.
CLIP-ImageSearch-NCNN
CLIP⚡NCNN⚡基于自然语言的图片搜索(Image Search)⚡以字搜图⚡x86⚡Android
CycleGAN-PyTorch
A very simple implementation of cyclegan, which is based on pytorch.
latent-diffusion
High-Resolution Image Synthesis with Latent Diffusion Models
diffvg
Differentiable Vector Graphics Rasterization
bert
TensorFlow code and pre-trained models for BERT
unidiffuser
Code and models for the paper "One Transformer Fits All Distributions in Multi-Modal Diffusion"
PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
Shifted_Diffusion
Code for Shifted Diffusion for Text-to-image Generation (CVPR 2023)
GALIP
[CVPR2023] A faster, smaller, and better text-to-image model for large-scale training
stylegan2
StyleGAN2 - Official TensorFlow Implementation
DF-GAN
A Simple and Effective Baseline for Text-to-Image Synthesis (CVPR2022 oral)
denoising-diffusion-gan
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs https://arxiv.org/abs/2112.07804
PAMA
An arbitrary style transfer algorithm
TransGAN
[NeurIPS‘2021] "TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up", Yifan Jiang, Shiyu Chang, Zhangyang Wang
CIPGAN
基于CycleGAN的水墨画风格迁移网络
hadoop-native-macos
The Hadoop native libraries for macOS
d2l-pytorch
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
CogView2
official code repo for paper "CogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformers"
clip-gen
CLIP-GEN: Language-Free Training of a Text-to-Image Generator with CLIP
PyTorch-CycleGAN
A clean and readable Pytorch implementation of CycleGAN
Medical-KBQA
基于知识图谱的医疗诊断知识问答系统
ganhacks
starter from "How to Train a GAN?" at NIPS2016
deep-photo-styletransfer
Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511
SketchySceneColorization
Language-based Colorization of Scene Sketches. (SIGGRAPH Asia 2019)
berkeley-stat-157
Homepage for STAT 157 at UC Berkeley
Self-Supervised-Sketch-to-Image-Synthesis-PyTorch
The pytorch implementation for the paper "Self-Supervised Sketch-to-Image Synthesis" in AAAI-2021
Chinese-Landscape-Painting-Dataset
Dataset used for WACV 2021 paper: "End-to-End Chinese Landscape Painting Creation Using Generative Adversarial Networks"