Yuxuan Ding1, Chunna Tian1, Haoxuan Ding2, Lingqiao Liu3
1 Xidian University, 2 Northwestern Polytechnical University, 3 The University of Adelaide
- News (2024-03-09): We have released the code for SD-IPC.
- News (2023-09-22): ๐๐๐ Congratulations on SD-IPC being accepted by NeurIPS 2023!
- release the the camera-ready version of the paper and supplementary materials
- release the code for fine-tuning SD-IPC (SD-IPC-FT, SD-IPC-CT)
Our work is standing on the shoulders of giants. We want to thank the following contributors that our code is based on:
- open-source library of diffusion models:
- (๐ค Diffusers) https://github.com/huggingface/diffusers
- (Stable Diffusion) https://github.com/CompVis/stable-diffusion
- open-source library of transformer models:
- (๐ค Transformers) https://github.com/huggingface/transformers
If this work is helpful for your research, please consider citing the following BibTeX entry.
@article{ding2024clip,
title={The CLIP Model is Secretly an Image-to-Prompt Converter},
author={Ding, Yuxuan and Tian, Chunna and Ding, Haoxuan and Liu, Lingqiao},
journal={Advances in Neural Information Processing Systems},
volume={36},
year={2024}
}