Image-to-Image Translation in PyTorch
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Updated
Apr 28, 2022 - Python
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Image-to-Image Translation in PyTorch
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
Bringing Old Photo Back to Life (CVPR 2020 oral)
A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.
The author's officially unofficial PyTorch BigGAN implementation.
EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212
A simple interface for editing natural photos with generative neural networks.
A sketch extractor for anime/illustration.
Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
Toward Multimodal Image-to-Image Translation
Generative Adversarial Transformers
Official PyTorch repo for JoJoGAN: One Shot Face Stylization
[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training
[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs
Synthetic Data Generation for tabular, relational and time series data.
Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks
Generative Adversarial Networks (GANs) resources sorted by citations
Pytorch implementation of MixNMatch
Generative Adversarial Networks implemented in PyTorch and Tensorflow
GAN-based Mel-Spectrogram Inversion Network for Text-to-Speech Synthesis
[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing
Synthetic structured data generators
Sketch Your Own GAN: Customizing a GAN model with hand-drawn sketches.
AttGAN: Facial Attribute Editing by Only Changing What You Want (IEEE TIP 2019)
[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.
[NeurIPS 2018] Visual Object Networks: Image Generation with Disentangled 3D Representation.
Rewriting a Deep Generative Model, ECCV 2020 (oral). Interactive tool to directly edit the rules of a GAN to synthesize scenes with objects added, removed, or altered. Change StyleGANv2 to make extravagant eyebrows, or horses wearing hats.
A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps
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This needs to be done in 2 parts:
We don't need to expose all the functions. Some functions do nothing fancy and they need to be removed and the entire computation can be performed inside the
forwardfunction.