Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

awesome grounding: A curated list of research papers in visual grounding

Meshed-Memory Transformer for Image Captioning. CVPR 2020

Learning to ground explanations of affect for visual art.

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

Show, Control and Tell: A Framework for Generating Controllable and Grounded Captions. CVPR 2019

A modular library built on top of Keras and TensorFlow to generate a caption in natural language for any input image.

Automatic image captioning model based on Caffe, using features from bottom-up attention.

This repository contains my solutions to the assignments for Stanford's CS231n "Convolutional Neural Networks for Visual Recognition" (Spring 2020).

Official Repository of OmniCaptioner

📸 Generates hashtags for Instagram posts. Upload your photo and it will suggest the relevant #hashtags for you. 🏷️

Semantic Propositional Image Caption Evaluation

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

VisText is a benchmark dataset for semantically rich chart captioning.

PixlStash is a Python-based image management, tagging and editing web app leveraging AI tools for tagging, similarity checks, grouping and quality assessment. It has a REST-API and a VUE-based web frontend.

EMNLP 2018. Learning to Describe Differences Between Pairs of Similar Images. Harsh Jhamtani, Taylor Berg-Kirkpatrick.

LoRA Pilot is an ultimate docker image for all Stable Diffusion LoRA trainers. Includes kohya_ss, diffusion pipes and TensorBoard for trainings and ComfyUI and InvokeAI for validation. Features shared models, modules, custom integrations and automatization scripts.

[CVPR 2023 & IJCV 2025] Positive-Augmented Contrastive Learning for Image and Video Captioning Evaluation

Advanced AI tagging and prompt generation studio.

Give your computer an AI Brain