style-transfer

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

TensorFlow CNN for fast style transfer ⚡🖥🎨🖼

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

TensorFlow (Python API) implementation of Neural Style

Learning Chinese Character style with conditional GAN

An end-to-end library for editing and rendering motion of 3D characters with deep learning [SIGGRAPH 2020]

Curated collection of reusable JSON prompt templates & style references for AI image generation. Updated daily.

Papers and resources on Controllable Generation using Diffusion Models, including ControlNet, DreamBooth, IP-Adapter.

Officail Implementation for "Cross-Image Attention for Zero-Shot Appearance Transfer"

StyleLLM文风大模型：基于大语言模型的文本风格迁移项目。Text style transfer base on Large Language Model. #文字修饰 # 润色 #风格模仿

Handwriting-Transformers (ICCV21)

[Arxiv 2023] img2img version of stable diffusion. Line Art Automatic Coloring. Anime Character Remix. Style Transfer.

LoRA fine-tune Gemma 4 31B to speak caveman-mode natively. Style: github.com/JuliusBrussee/caveman

Transform your simple scribbles into architectural designs using style transfer with Stable Diffusion, LCM, IP Adapters and ControlNet. Scribble Architect combines creativity with generative AI technology, improving the inspiration process.

DiffStyle: Leverage Diffusion Prior to One-for-All Style Transfer. Course project of CS3310 Computer Graphics, built on Prompt-to-Prompt and Null-Text.

A general purpose ComfyUI workflow for common use cases.

Style-Transfer: Apply the style of an image to another image

A style transfer testing workflow for ComfyUI. Made with 💚 by the CozyMantis squad.

Eye-for-an-eye: Appearance Transfer with Semantic Correspondence in Diffusion Models