A latent text-to-image diffusion model

Google Research

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

This repository contains implementations and illustrative code to accompany DeepMind publications

PRML algorithms implemented in Python

LAVIS - A One-stop Library for Language-Vision Intelligence

The image prompt adapter is designed to enable a pretrained text-to-image diffusion model to generate images with image prompt.

links to conference publications in graph-based deep learning

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

Single Shot MultiBox Detector in TensorFlow

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

Easily compute clip embeddings and build a clip retrieval system with them

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

Text To Video Synthesis Colab

Simple image captioning model

Unofficial implementation of "Prompt-to-Prompt Image Editing with Cross Attention Control" with Stable Diffusion

ICCV2021, Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet

[ICCV 2023 Oral] "FateZero: Fusing Attentions for Zero-shot Text-based Video Editing"

This repository is intended to host tools and demos for ActivityNet

OpenAI CLIP text encoders for multiple languages!

Code for ICLR 2020 paper "VL-BERT: Pre-training of Generic Visual-Linguistic Representations".

The source code for paper "Deep Image Spatial Transformation for Person Image Generation"

Code for CVPR'19 paper Linkage-based Face Clustering via GCN

DiscoDiffusion Warp

code for R-C3D