SIFNet: Free-form image inpainting using color split-inpaint-fuse approach

Official implementation of “SIFNet: Free-form image inpainting using color split-inpaint-fuse approach” published in the Computer Vision and Image Understanding Journal (Volume 221, August 2022, 103446). Link to the paper.

How to run

• Train/Test codes are in "Places" and "Celeb" folders
• Modify "eval_single.py" as per need and run.
• Open an issue if you need any help or have any queries.
• Un-refactored code. But should be able to reproduce the results.

Citation

If you find our paper and code beneficial for your work, please consider citing us!

@article{DBLP:journals/cviu/UddinJ22,
  author    = {S. M. Nadim Uddin and
               Yong Ju Jung},
  title     = {SIFNet: Free-form image inpainting using color split-inpaint-fuse
               approach},
  journal   = {Comput. Vis. Image Underst.},
  volume    = {221},
  pages     = {103446},
  year      = {2022},
  url       = {https://doi.org/10.1016/j.cviu.2022.103446},
  doi       = {10.1016/j.cviu.2022.103446},
  timestamp = {Mon, 11 Jul 2022 12:10:38 +0200},
  biburl    = {https://dblp.org/rec/journals/cviu/UddinJ22.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}