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CycleNet

This repository is still actively under construction!

This is the official implementation of:

CycleNet: Rethinking Cycle Consistency in Text-Guided Diffusion for Image Manipulation
Sihan Xu*, Ziqiao Ma*, Yidong Huang, Honglak Lee, Joyce Chai
University of Michigan, LG AI Research
NeurIPS 2023

Conda Environment

conda env create -f environment.yaml conda activate cycle 

Training

This implementation builds upon ControlNet.
Please redirect to this document on how to train the model.

Citation

@inproceedings{xu2023cyclenet, title = "CycleNet: Rethinking Cycle Consistent in Text‑Guided Diffusion for Image Manipulation", author = "Xu, Sihan and Ma, Ziqiao and Huang, Yidong and Lee, Honglak and Chai, Joyce", booktitle = "Advances in Neural Information Processing Systems (NeurIPS)", year = "2023", } 

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[NeurIPS 2023] Official Code for CycleNet: Rethinking Cycle Consistent in Text‑Guided Diffusion for Image Manipulation

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