#Image-captioning
Showing 30 of 30 repositories tagged #image-captioning, ranked by stars
LAVIS - A One-stop Library for Language-Vision Intelligence
InternGPT (iGPT) is an open source demo platform where you can easily showcase your AI models. Now it supports DragGAN, ChatGPT, ImageBind, multimodal chat like GPT-4, SAM, interactive image editing, etc. Try it at igpt.opengvlab.com (支持DragGAN、ChatGPT、ImageBind、SAM的在线Demo系统)
Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning
Caption-Anything is a versatile tool combining image segmentation, visual captioning, and ChatGPT, generating tailored captions with diverse controls for user preferences. https://huggingface.co/spaces/TencentARC/Caption-Anything https://huggingface.co/spaces/VIPLab/Caption-Anything
Simple Swift class to provide all the configurations you need to create custom camera view in your app
X-modaler is a versatile and high-performance codebase for cross-modal analytics(e.g., image captioning, video captioning, vision-language pre-training, visual question answering, visual commonsense reasoning, and cross-modal retrieval).
AI VTuber with LLM, ASR, TTS, OCR, CV and more technologies to live stream or play Minecraft with you.
👁️ + 💬 + 🎧 = 🤖 Curated list of top foundation and multimodal models! [Paper + Code + Examples + Tutorials]
PyTorch source code for "Stacked Cross Attention for Image-Text Matching" (ECCV 2018)
Custom ComfyUI nodes for Vision Language Models, Large Language Models, Image to Music, Text to Music, Consistent and Random Creative Prompt Generation
Official Pytorch implementation of "OmniNet: A unified architecture for multi-modal multi-task learning" | Authors: Subhojeet Pramanik, Priyanka Agrawal, Aman Hussain
Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition
a collection of computer vision projects&tools. 计算机视觉方向项目和工具集合。
This repository explores the variety of techniques and algorithms commonly used in deep learning and the implementation in MATLAB and PYTHON
[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow
Deep Learning workshop including image classification, face recognition, Object detection, language modelling, image captioning and neural machine translation.
Implementation code of the work "Exploiting Multiple Sequence Lengths in Fast End to End Training for Image Captioning"
[CVPR 2020] Transform and Tell: Entity-Aware News Image Captioning
An offline AI-powered video analysis tool with object detection (YOLO), image captioning (BLIP), speech transcription (Whisper), audio event detection (PANNs), and AI-generated summaries (LLMs via Ollama). It ensures privacy and offline use with a user-friendly GUI.
The LSTM model generates captions for the input images after extracting features from pre-trained VGG-16 model. (Computer Vision, NLP, Deep Learning, Python)
A PyTorch implementation of the paper Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
Localized Narratives
Learning to Evaluate Image Captioning. CVPR 2018
generate captions for images using a CNN-RNN model that is trained on the Microsoft Common Objects in COntext (MS COCO) dataset
Baseline model for nocaps benchmark, ICCV 2019 paper "nocaps: novel object captioning at scale".
Image Captioning: Implementing the Neural Image Caption Generator with python
[CVPR 2024] Retrieval-Augmented Image Captioning with External Visual-Name Memory for Open-World Comprehension
CS231n Assignments Solutions - Spring 2020
Intro to Deep Learning by National Research University Higher School of Economics
Image Classification, Image Captioning and LLM inference with LiteRT