High-Resolution Image Synthesis with Latent Diffusion Models

李宏毅2021/2022/2023春季机器学习课程课件及作业

Taming Transformers for High-Resolution Image Synthesis

The image prompt adapter is designed to enable a pretrained text-to-image diffusion model to generate images with image prompt.

InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation 🔥

[CVPR 2022] Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer

Official implementation of the paper “Inversion-Based Style Transfer with Diffusion Models” (CVPR 2023)

Official Pytorch Implementation for "Splicing ViT Features for Semantic Appearance Transfer" presenting "Splice" (CVPR 2022 Oral)

Styled text-to-drawing synthesis method. Featured at IJCAI 2022 and the 2021 NeurIPS Workshop on Machine Learning for Creativity and Design

Code to reproduce the results from the paper "Controlling Perceptual Factors in Neural Style Transfer" (https://arxiv.org/abs/1611.07865).

Arbitrary Style Transfer with Style-Attentional Networks

DiffStyler: Controllable Dual Diffusion for Text-Driven Image Stylization

基于keras使用dcgan自动生成动漫头像

ArtBank: Artistic Style Transfer with Pre-trained Diffusion Model and Implicit Style Prompt Bank (AAAI2024)

Towards Highly Realistic Artistic Style Transfer via Stable Diffusion with Step-aware and Layer-aware Prompt Inversion (IJCAI2024)

PyTorch implementation of "Avatar-Net: Multi-scale Zero-shot Style Transfer by Feature Decoration"

text-driven image style transfer (TxST) that leverages advanced image-text encoders to control arbitrary style transfer

使用pytorch，构建VGG19网络结构，对CIFAR10数据集进行分类

(ECCV2022) EAGAN: EAGAN: Efficient Two-stage Evolutionary Architecture Search for GANs

Implementation of the Style Aware Normalized Art Style Transfer paper

PaperClub 资源站：不间断分享中小型项目, 主要分享各类视觉算法、文本算法和前后端等实用性工程项目，主要开发语言为python，vue等；

Adaptive convolutions for structure-aware style transfer

neural style transfer GAN model