VisualGPT, CVPR 2022 Proceeding, GPT as a decoder for vision-language models

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

CLIPxGPT Captioner is Image Captioning Model based on OpenAI's CLIP and GPT-2.

[CVPR23] A cascaded diffusion captioning model with a novel semantic-conditional diffusion process that upgrades conventional diffusion model with additional semantic prior.

Paper notes in deep learning/machine learning and computer vision

Tensorflow implementation of "Show, Attend and Tell: Neural Image Caption Generation with Visual Attention" Support python3.6, python3.7 TensorFlow1.8 TensorFlow1.12 TensorFlow1.13 TensorFlow1.14 numpy 1.12 or newer

pre-trained model and source code for generate description of images.

[IGARSS 2022] CapFormer: Pure transformer for remote sensing image caption

Image Caption

An Image captioning web application combines the power of React.js for front-end, Flask and Node.js for back-end, utilizing the MERN stack. Users can upload images and instantly receive automatic captions. Authenticated users have access to extra features like translating captions and text-to-speech functionality.

Simple but Comprehensive PyTorch Implementation of Image Captioning Models.

a py3 lib for NLP & image-caption metrics : BLEU METEOR CIDEr ROUGE SPICE WMD

Image captioning model with Resnet50 encoder and LSTM decoder

This repository reimplements "Show, Attend and Tell" model and add extra deep learning techniques.

some works on ncnn

Transformer block in tf.keras similar to PyTorch's nn.Transformer block.

Allows to generate image caption information from annotations

End to End Deep learning model that generate image captions

Image Captioning with Google‘s NIC For AI Challenger

Say good bye to jQuery plugins. Today, we can create similar image caption effect only with CSS3. This demo shows how this effects runs.