FOHE
Caption rewriting
Automates the process of generating multiple rewritten image captions by fine-tuning large vision-language models
8 stars
1 watching
1 forks
Language: Python
last commit: over 1 year ago Related projects:
| Repository | Description | Stars |
|---|---|---|
| | An unsupervised image captioning framework that allows generating captions from images without paired data. | 215 |
| | This project provides an official PyTorch implementation of a method to interpret and edit vision-language representations to mitigate hallucinations in image captions. | 46 |
| | A deep learning model for generating image captions with semantic attention | 51 |
| | An image caption generation model that uses abstract scene graphs to fine-grained control and generate captions | 200 |
| | Enhances language models to generate text based on visual descriptions of images | 352 |
| | Automates renaming and tagging of IDA PRO functions based on API calls or jumps | 621 |
| | An image caption generation system using a neural network architecture with pre-trained models. | 64 |
| | A project for pre-training models to support image captioning and question answering tasks. | 416 |
| | Automates generation of discrete sequence text using adversarially regularized autoencoders | 20 |
| | An approach to image captioning that leverages the CLIP model and fine-tunes a language model without requiring additional supervision or object annotation. | 1,326 |
| | Trains image paragraph captioning models to generate diverse and accurate captions | 90 |
| | A PyTorch implementation of a framework for generating captions with styles for images and videos. | 63 |
| | An implementation of Adversarially Regularized Autoencoders for language generation and discrete structure modeling. | 400 |
| | A decoder library for PNG and BMP images in ActionScript 3. | 10 |
| | This implementation allows users to generate captions from images using a neural network model with visual attention. | 790 |