(ICML-W, 2018) Text to image synthesis, by distilling concepts from multiple captions.
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Updated
Jul 12, 2018 - Python
(ICML-W, 2018) Text to image synthesis, by distilling concepts from multiple captions.
Winner (Titan Xp as awards), 2019 Just Model It Event: freely making a model on dgx system and backend.ai
Research for text-to-image synthesis via modified auxiliary classifier GANs. Incremental modification of model architecture for improved results, fully documented.
A CLI tool/python module for generating images from text using guided diffusion and CLIP from OpenAI.
A Simple Android Client for Dall-E Mini Targeting API 23 and above (Android 6+)
Official code of "StyleT2I: Toward Compositional and High-Fidelity Text-to-Image Synthesis" (CVPR 2022)
✭ MAGNETRON ™ ✭: Implementation of Google's Dreambooth (with Stable Diffusion model) instead of IMAGEN (for making MAGNETRON ™ TECHNOLOGY IMAGINATION PROXIA). In particular this can be used to mimic the appearance of subjects in a given reference set and synthesize novel renditions of them in different contexts.
The pytorch implementation of the paper "text-guided neural image inpainting" at MM'2020 (oral)
Modular image generation library
This repository illustrates how to use the Hotpot.ai API. Our API provides Stable Diffusion, image generator, text-to-image generator, background removal, image upscaler, photo restoration, and picture colorization.
Styled text-to-drawing synthesis method. Featured at IJCAI 2022 and the 2021 NeurIPS Workshop on Machine Learning for Creativity and Design
PyTorch Implementation of Generative Adversarial Text to Image Synthesis
A library of images generated using Stable Diffusion
Implementation of StackGANs for text-to-image generation in Tensorflow
Course materials, tutorials, and project works from the Neural Networks (EEE443) course at Bilkent University.
The code for "Text-to-image synthesis with self-supervised bi-stage generative adversarial network"
The code for "Text-to-image synthesis with self-supervised learning"
Developed a text-to-image synthesizer system and compared its performances when using VAEs, GANs and Diffusion Models
Stable Diffusion API overview and code examples
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