Soon Yau Cheong Armin Mustafa Andrew Gilbert
https://github.com/soon-yau/visconet/assets/19167278/ae58b7ab-fa76-4253-8a10-46656f234b20
A suitable conda environment named control
can be created
and activated with:
conda env create -f environment.yaml
conda activate control
All model and data files are in here. Including eval.zip containing all images used in human evaluation.
@inproceedings{visconet,
author = {Cheong, Soon Yau and Mustafa, Armin and Gilbert, Andrew},
title = {ViscoNet: Bridging and Harmonizing Visual and Textual Conditioning for ControlNet},
booktitle = {ECCV Workshop Proceedings}
month = {September},
year = {2024}}