APDrawingGAN
StyleSwin
APDrawingGAN | StyleSwin | |
---|---|---|
1 | 1 | |
773 | 462 | |
- | 0.0% | |
0.0 | 0.0 | |
almost 2 years ago | about 1 year 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.
APDrawingGAN
-
Image to hand drawn
Hi, I'm looking for more projects that will turn an image into a "hand drawn" image. These are the ones I've found so far. They are all based on the same dataset from APDrawingGAN. This is a scaled down image. The originals were generated at 1200px width (512 for APDrawGAN)
StyleSwin
-
[R][P] StyleSwin: Transformer-based GAN for High-resolution Image Generation + Hugging Face Gradio Demo
github: https://github.com/microsoft/StyleSwin
What are some alternatives?
ArtLine - A Deep Learning based project for creating line art portraits.
pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs
pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch
MobileStyleGAN.pytorch - An official implementation of MobileStyleGAN in PyTorch
anycost-gan - [CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing
HR-VITON - Official PyTorch implementation for the paper High-Resolution Virtual Try-On with Misalignment and Occlusion-Handled Conditions (ECCV 2022).
Anime2Sketch - A sketch extractor for anime/illustration.
concept-ablation - Ablating Concepts in Text-to-Image Diffusion Models (ICCV 2023)
ArtGAN - ArtGAN + WikiArt: This work presents a series of new approaches to improve GAN for conditional image synthesis and we name the proposed model as “ArtGAN”.
fourier_feature_nets - Supplemental learning materials for "Fourier Feature Networks and Neural Volume Rendering"
TFill - [CVPR 2022]: Bridging Global Context Interactions for High-Fidelity Image Completion