JoaquinP41

JoaquinP41's Stars

• sam-ludlow/mame-ao

  Run MAME easily, automatic download and setup for binaries and ROMs from archive.org

  Language:C#9113

• piddnad/DDColor

  [ICCV 2023] DDColor: Towards Photo-Realistic Image Colorization via Dual Decoders

  Language:Jupyter Notebook1.1k120

• JoaquinP41/colormnet

  1

• yyang181/colormnet

  Language:Python433

• JoaquinP41/ColorDiffuser

  Video Colorization with Pre-trained Text-to-Image Diffusion Models

  1

• ColorDiffuser/ColorDiffuser

  Video Colorization with Pre-trained Text-to-Image Diffusion Models

  393

• xy-cong/imagine-colorization

  Language:JavaScript502

• facefusion/facefusion

  Industry leading face manipulation platform

  Language:Python19.5k3k

• starceees/ddcolor_dl_final

  This repository contains the implementation and results of our research project that extends the dual decoder architecture from the "DDColor: Towards Photo-Realistic Image Colorization via Dual Decoders" paper. We explore the versatility of this model by applying it to diverse tasks, including historical film restoration and artistic stylized color

  Language:Python21

• JoaquinP41/facefusion

  Next generation face swapper and enhancer

  1

• tomcatmwi/myheritage

  Automator script to batch colorize photos on MyHeritage.com

  Language:JavaScript154

• junyanz/interactive-deep-colorization

  Deep learning software for colorizing black and white images with a few clicks.

  Language:Python2.7k447

• zhangmozhe/Deep-Exemplar-based-Video-Colorization

  The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".

  Language:Python34176

• JoaquinP41/Python-Code-Cool-Stuff

  Cool stuff using Python and OpenCV

  1

• feitgemel/Python-Code-Cool-Stuff

  Cool stuff using Python and OpenCV

  Language:Python8831

• impulsgraw/time-machine

  An application for colorizing and recovering old black&white photos and videos

  Language:Python34

• satoshiiizuka/siggraphasia2019_remastering

  Code for the paper "DeepRemaster: Temporal Source-Reference Attention Networks for Comprehensive Video Enhancement". http://iizuka.cs.tsukuba.ac.jp/projects/remastering/

  Language:Python484103