Accessory-Try-On-Dataset-STRAT
Virtual try-on dataset
Provides a dataset and tools for image composition via virtual try-on using accessory images and human faces/portraits.
A virtual accessory try-on dataset which could be used for image composition
21 stars
5 watching
0 forks
Language: Python
last commit: about 1 year ago
Linked from 1 awesome list
image-compositionvirtual-try-on
Related projects:
Repository | Description | Stars |
---|---|---|
| A collection of datasets and tools for foreground object search research | 20 |
| A framework for customizing generative models to insert subjects into background images based on reference images | 19 |
| A collection of datasets and tools for training algorithms to harmonize images by adjusting the appearance of foreground regions to match the background. | 768 |
| An IDE-like feature for displaying breadcrumbs in an integrated development environment (IDE) like Neovim. | 1,076 |
| Creating synthetic visual reasoning instructions to improve the performance of large language models on image-related tasks | 18 |
| An image composition toolbox that integrates various methods to generate realistic composite images from different sources. | 558 |
| Provides a set of glyphs for use by neovim plugins to represent different file types and extensions. | 2,145 |
| A toolkit for interactive visualization of high-resolution bioimaging data. | 290 |
| A comprehensive computer vision toolkit with tools and algorithms for video and image analytics in multiple environments. | 291 |
| A toolbox for online experiments and offline analysis of Brain-Computer Interface (BCI) signals in MATLAB. | 155 |
| A Python toolbox for analyzing and processing EEG data in the context of Brain-Computer Interfacing (BCI) experiments. | 96 |
| A command-line tool for comparing the visual appearance of two sets of images to detect changes. | 359 |
| A Neovim plugin that provides a local interface to Unison's codebase navigation | 6 |
| A Neovim plugin for interacting with Rust Analyzer's LSP extensions | 99 |
| A Python package for data analysis and visualization in machine learning | 198 |