Im2Vec
anycost-gan
Our great sponsors
| Im2Vec | anycost-gan | |
|---|---|---|
| 2 | 1 | |
| 218 | 678 | |
| - | 2.2% | |
| 0.6 | 1.0 | |
| 12 months ago | 9 months ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Im2Vec
-
Im2Vec: Synthesizing Vector Graphics Without Vector Supervision
Seems they got the wrong URL, http://geometry.cs.ucl.ac.uk/projects/2021/im2vec/ has more info, also the link to a github repo: https://github.com/preddy5/Im2Vec
anycost-gan
What are some alternatives?
lightweight-gan - Implementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two
PaddleGAN - PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, Wav2Lip, picture repair, image editing, photo2cartoon, image style transfer, GPEN, and so on.
pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch
pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs
alias-free-gan-pytorch - Unofficial implementation of Alias-Free Generative Adversarial Networks. (https://arxiv.org/abs/2106.12423) in PyTorch
Anime-face-generation-DCGAN-webapp - A port of my Anime face generation using Pytorch into a Webapp
DeepSIM - Official PyTorch implementation of the paper: "DeepSIM: Image Shape Manipulation from a Single Augmented Training Sample" (ICCV 2021 Oral)
vpype-pixelart - Pixel art plotting in vpype
GIMP-ML - AI for GNU Image Manipulation Program
CycleGAN - Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
stylegan2-pytorch - Implementation of Analyzing and Improving the Image Quality of StyleGAN (StyleGAN 2) in PyTorch