This repository contains demos I made with the Transformers library by HuggingFace.

Open-Set Grounded Text-to-Image Generation

A Survey on Text-to-Image Generation/Synthesis.

MMGeneration is a powerful toolkit for generative models, based on PyTorch and MMCV.

Just playing with getting CLIP Guided Diffusion running locally, rather than having to use colab.

[CVPR 2022] DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting

Pytorch implementation of MaskGIT: Masked Generative Image Transformer (https://arxiv.org/pdf/2202.04200.pdf)

An Introduction to Deep Generative Modeling: Examples

Official implementation for "Blended Diffusion for Text-driven Editing of Natural Images" [CVPR 2022]

PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

Language-Driven Semantic Segmentation

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Code for the ICML 2021 (long talk) paper: "ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision"

Generative Adversarial Transformers

CLIP + FFT/DWT/RGB = text to image/video

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cycle…

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".