Developed a text-to-image synthesizer system and compared its performances when using VAEs, GANs and Diffusion Models
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Updated
Jul 25, 2023 - Jupyter Notebook
Developed a text-to-image synthesizer system and compared its performances when using VAEs, GANs and Diffusion Models
A library of images generated using Stable Diffusion
Course materials, tutorials, and project works from the Neural Networks (EEE443) course at Bilkent University.
PyTorch Implementation of Zero-shot Diffusion based 3D Scene Editing Technique
✭ 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 code for "Text-to-image synthesis with self-supervised learning"
Implementation of StackGANs for text-to-image generation in Tensorflow
Research for text-to-image synthesis via modified auxiliary classifier GANs. Incremental modification of model architecture for improved results, fully documented.
The code for "Text-to-image synthesis with self-supervised bi-stage generative adversarial network"
PyTorch Implementation of Generative Adversarial Text to Image Synthesis
Modular image generation library
Winner (Titan Xp as awards), 2019 Just Model It Event: freely making a model on dgx system and backend.ai
Stable Diffusion API overview and code examples
[Journal of Artificial Intelligence Research] Source code for our paper "Exploiting Cultural Biases via Homoglyphs in Text-to-Image Synthesis".
(ICML-W, 2018) Text to image synthesis, by distilling concepts from multiple captions.
TISE: Bag of Metrics for Text-to-Image Synthesis Evaluation (ECCV 2022)
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)
[CVPR '23] Unite and Conquer: Plug & Play Multi-Modal Synthesis using Diffusion Models
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