Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/
MIT License
[NeurIPS 2018] Visual Object Networks: Image Generation with Disentangled 3D Representation.
Network-to-Network Translation with Conditional Invertible Neural Networks
Toward Multimodal Image-to-Image Translation
Semantic Segmentation Architectures Implemented in PyTorch
[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training
Discovering Interpretable GAN Controls [NeurIPS 2020]
Image-to-Image Translation in PyTorch
[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs
Synthesizing and manipulating 2048x1024 images with conditional GANs
Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV...
Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
[CVPR2020] Adversarial Latent Autoencoders