Stars
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech
Official PyTorch implementation of StyleGAN3
GLIDE: a diffusion-based text-conditional image synthesis model
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
A Flow-based Generative Network for Speech Synthesis
HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
Official PyTorch implementation of BigVGAN (ICLR 2023)
A Generative Flow for Text-to-Speech via Monotonic Alignment Search
ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models (ICCV 2021 Oral)
An implementation of DeepMind's Relational Recurrent Neural Networks (NeurIPS 2018) in PyTorch.
Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation (CVPR 2021)
BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation (CVPR 2021)
Toward Spatially Unbiased Generative Models (ICCV 2021)
Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation (NeurIPS 2021)
PyTorch implementation of the paper "NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity." (NeurIPS 2020)