unleashing-transformers
Image generator
A method for generating high-resolution images using a novel combination of vector quantization and transformer models
Code for the ECCV 2022 paper "Unleashing Transformers"
182 stars
7 watching
23 forks
Language: Python
last commit: almost 2 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
| A framework for generating images from text using transformers. | 1,735 |
| Develops a PyTorch model for 4K text-to-image generation using diffusion transformer | 1,711 |
| A service for generating new images by mixing the content of an input image with the style of another image. | 51 |
| An image transformation API that resizes and optimises images based on user input without requiring additional parameters. | 235 |
| An implementation of a deep learning model for generating images from text descriptions | 262 |
| A PyTorch implementation of a deep generative model that can be used to generate images from a dataset. | 1,466 |
| A PyTorch implementation of an adversarial network for generating high-definition images from text descriptions. | 150 |
| Reproduces text-to-image generation with attentional generative adversarial networks. | 1,343 |
| A text-to-image tool using CLIP and FFT/DWT parameters to generate detailed images from user-provided text prompts. | 778 |
| An implementation of semantic image synthesis via adversarial learning using PyTorch | 145 |
| An enhanced deep learning framework for image super-resolution tasks using Generative Adversarial Networks and PyTorch. | 151 |
| Implementation of a deep learning model for generating high-quality images with improved stability and variation. | 538 |
| A model that generates image patches from natural language descriptions by iteratively drawing and attending to relevant words. | 594 |
| Tools and libraries to generate perturbations for attacking image classification models | 242 |
| Transforms images from multiple cameras into semantically segmented bird's eye view images using deep learning | 720 |