Codes for my paper "SSDA-YOLO: Semi-supervised Domain Adaptive YOLO for Cross-Domain Object Detection"

Official PyTorch implementation of QuantArt (CVPR2023)

<케라스 창시자에게 배우는 딥러닝 2판> 도서의 코드 저장소

PyTorch implementation of "Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization"

InstantID : Zero-shot Identity-Preserving Generation in Seconds | RunPod Serverless Worker

Docker image for InstantID : Zero-shot Identity-Preserving Generation in Seconds

Combine two images and produce new image with style of first image and content of second image

Implementation from scratch of [Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization [Huang+, ICCV2017]]

A clear and lucid implementation of Instance Aware Tanslation in Image Style Transfer using GANs

Easy machine learning in PHP by leveraging the power of TensorFlow

Convert an image into a nice-looking Voronoi diagram using one of many available techniques with options for customization.

A macOS Swift Playground for testing your image stylizing CoreML model

PyTorch implementation of Gatys et al., 2016 from scratch

To realize image style transfer using basic components of neural network

In this study, we work to transfer the pattern to the basic face image from the pattern face image, by adjusting the latent space and moving within it.

This project aims to develop an application that leverages machine learning to transfer artistic styles onto real-time webcam feed or uploaded images using computer graphics techniques. The ML model will be responsible for understanding the artistic style, and the computer graphics part will apply this style to the input images.

This project features Image Style Transfer using the VGG19 neural network. Style transfer merges the artistic style of one image with the content of another. Leveraging the powerful VGG19 convolutional neural network, it excels in image-related tasks.

Fei Gao's Homepage

Image Style Transfer Using Convolutional Neural Networks