[CVIU2023] 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"

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

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

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

PyTorch implementation of "A Learned Representation For Artistic Style"

Easy machine learning in PHP by leveraging the power of TensorFlow

A macOS Swift Playground for testing your image stylizing CoreML model

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

Dissertation Project based on Image Style Transfer. Created a user interactive graphics editor that allows users to create masks to control the region where the algorithm will effect.

PyTorch implementation of Gatys et al., 2016 from scratch

Fei Gao's Homepage

To realize image style transfer using basic components of neural network

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

Artify is an AI-powered image style transfer bot that transforms ordinary photos into stunning artworks inspired by famous artists, from classical masters to modern visionaries.

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.

We will visualize the style transfer output produced by monet_generator_model. We take 5 sample images that are photos of beautiful landscapes in the original dataset and feed them to the model.