Alternatives and similar repositories for fast-style-transfer:

Users that are interested in fast-style-transfer are comparing it to the libraries listed below

• Malikanhar / Face-Sketch-to-Image-Generation-using-GAN
  Face Sketch to Image Generation using Generative Adversarial Networks
  ☆36Updated 2 years ago
• nikhilroxtomar / DCGAN-on-Anime-Faces
  The respository contains the code for the Deep Convolutional Generative Adversarial Network (DCGAN) trained on the anime faces dataset.
  ☆26Updated 4 years ago
• nicknochnack / Python-Neural-Style-Transfer
  A short walkthrough that demonstrates how to perform neural style transfer with a pre-trained model.
  ☆43Updated 2 years ago
• Gladiator07 / Text-to-image-synthesis-with-AttnGAN
  Text to Image Generation using Attentional Generative Adversarial Networks
  ☆34Updated last year
• Hephyrius / Stylegan2-Ada-Google-Colab-Starter-Notebook
  A colab notebook for training Stylegan2-ada on colab, transfer learning onto your own dataset.
  ☆70Updated 2 years ago
• woctezuma / stylegan2-projecting-images
  Projecting images to latent space with StyleGAN2.
  ☆297Updated 2 years ago
• gordicaleksa / pytorch-naive-video-neural-style-transfer
  Create naive (no temporal loss) NST for videos with person segmentation. Just place your videos in data/, run and you get your stylized a…
  ☆79Updated 4 years ago
• nikhiltiru / stylegan2
  StyleGAN2 - Official TensorFlow Implementation
  ☆38Updated 5 years ago
• rrmina / neural-style-pytorch
  Neural Style implementation in PyTorch!
  ☆67Updated 4 years ago
• theAIGuysCode / colab-webcam
  Notebook for accessing local webcam within Google Colab on Images and Videos. Basic tutorial running face detection on webcam image and v…
  ☆105Updated 4 years ago
• Norod / my-colab-experiments
  A repository for sharing ipynb's of my experiments with ML. Some notebooks are 'old' by now and might no longer work 'out of the box'.
  ☆78Updated 2 years ago
• justinjohn0306 / StyleFlow-Windows-10
  StyleFlow: Attribute-conditioned Exploration of StyleGAN-generated Images using Conditional Continuous Normalizing Flows
  ☆51Updated 3 years ago
• OvaizAli / Image-Colorization-using-GANs
  This is my deep learning project in which we performed image colorization on B/W images using GANs.
  ☆10Updated 3 years ago
• dvschultz / ai
  bash script to install Artifical Images materials
  ☆153Updated 2 years ago
• bunny98 / Text-to-Image-Using-GAN
  ☆49Updated 2 years ago
• whitphx / style-transfer-web-app
  ☆24Updated last year
• feitgemel / 3d-photo-inpainting
  [CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting
  ☆18Updated 9 months ago
• Paperspace / FaceApp-with-Deep-Learning
  ☆23Updated 5 years ago
• deepeshdm / Neural-Style-Transfer
  Creating digital art using Neural Network based Style Transfer.
  ☆49Updated 3 years ago
• yiranran / APDrawingGAN2
  Code for Line Drawings for Face Portraits from Photos using Global and Local Structure based GANs (TPAMI)
  ☆221Updated 2 years ago
• Adi-iitd / AI-Art
  PyTorch (and PyTorch Lightning) implementation of Neural Style Transfer, Pix2Pix, CycleGAN, and Deep Dream!
  ☆391Updated 2 years ago
• vijishmadhavan / Light-Up
  Low-Light Image Enhancement
  ☆72Updated 3 years ago
• ouhenio / StyleGAN3-CLIP-notebooks
  A collection of Jupyter notebooks to play with NVIDIA's StyleGAN3 and OpenAI's CLIP for a text-based guided image generation.
  ☆210Updated 2 years ago
• k-l-lambda / stylegan-web
  A web porting for NVlabs' StyleGAN.
  ☆160Updated last year
• jeffheaton / pyimgdata
  ☆113Updated last year
• mayankgrwl97 / awesome-gans
  Latest resources on Generative Adversarial Networks
  ☆50Updated 4 years ago
• nazianafis / Neural-Style-Transfer
  Transferring the style of one image to the contents of another image, using PyTorch and VGG19.
  ☆50Updated last year
• SenHe / DLFS
  ☆67Updated 3 years ago
• feitgemel / Python-Code-Cool-Stuff
  Cool stuff using Python and OpenCV
  ☆89Updated 2 weeks ago
• o-b-one / pose-estimator
  An application that is able to estimate what pose a person found at, and count the number of repeats during live/recorded exercise.
  ☆7Updated 3 years ago