task_categories:
- text-to-image
license: apache-2.0
language:
- en
tags:
- diffusion-model
- generative-ai
- image-generation
- toy-dataset
TiM-Toy-T2I-Dataset
This repository contains the toy dataset for text-to-image (T2I) generation used in the paper Transition Models: Rethinking the Generative Learning Objective.
Transition Models (TiM) introduce an exact, continuous-time dynamics equation that analytically defines state transitions across any finite time interval. This leads to a novel generative paradigm, TiM, which adapts to arbitrary-step transitions, seamlessly traversing the generative trajectory from single leaps to fine-grained refinement with more steps. This specific dataset serves as a toy dataset for training and experimentation with TiM for text-to-image generation.
Code: https://github.com/WZDTHU/TiM
Sample Usage
To download this toy text-to-image dataset for training TiM models, you can follow the instructions from the official GitHub repository under the "Dataset Setup" section:
bash tools/download_toy_t2i_dataset.sh
For more details on setting up the environment, downloading models, and other training/sampling scripts, please refer to the official GitHub repository.
Citation
If you find the project useful, please kindly cite:
@article{wang2025transition,
title={Transition Models: Rethinking the Generative Learning Objective},
author={Wang, Zidong and Zhang, Yiyuan and Yue, Xiaoyu and Yue, Xiangyu and Li, Yangguang and Ouyang, Wanli and Bai, Lei},
year={2025},
eprint={2509.04394},
archivePrefix={arXiv},
primaryClass={cs.LG}
}
License
This project is licensed under the Apache-2.0 license.