ArtGAN
MobileStyleGAN.pytorch
ArtGAN | MobileStyleGAN.pytorch | |
---|---|---|
1 | 1 | |
401 | 656 | |
- | - | |
3.6 | 0.0 | |
8 months ago | about 2 years ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
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ArtGAN
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I'm looking for hoards of modern digital art to train an AI to generate art
This could help: https://github.com/cs-chan/ArtGAN https://archive.org/details/academictorrents_1d154cde2fab9ec8039becd03d9bb877614d351b Reach out to e.g. the National Gallery of Art providing proof of your student status (like enrollment cert and a note from your prof); they might be able to provide you with a bulk download option for their paintings. Reach out to the art department and the library of your uni - they might be able to help.
MobileStyleGAN.pytorch
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[R][P]MobileStyleGAN: A Lightweight Convolutional Neural Network for High-Fidelity Image Synthesis
Paper: https://arxiv.org/abs/2104.04767 Code: https://github.com/bes-dev/MobileStyleGAN.pytorch Python library: https://github.com/bes-dev/random_face YouTube videos: https://www.youtube.com/playlist?list=PLstKhmdpWBtwsvq_27ALmPbf_mBLmk0uI
What are some alternatives?
ebsynth - Fast Example-based Image Synthesis and Style Transfer
PINTO_model_zoo - A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs
APDrawingGAN - Code for APDrawingGAN: Generating Artistic Portrait Drawings from Face Photos with Hierarchical GANs (CVPR 2019 Oral)
stylegan2-pytorch - Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
concept-ablation - Ablating Concepts in Text-to-Image Diffusion Models (ICCV 2023)
pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch
DeceiveD - [NeurIPS 2021] Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data
StyleSwin - [CVPR 2022] StyleSwin: Transformer-based GAN for High-resolution Image Generation
Deep-Exemplar-based-Video-Colorization - The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".