3GAN: A Three-GAN-based Approach for Image Inpainting Applied to the Reconstruction of Occluded Parts of Building Walls

Benedikt Kottler, Ludwig List, Dimitri Bulatov, Martin Weinmann. 3GAN: A Three-GAN-based Approach for Image Inpainting Applied to the Reconstruction of Occluded Parts of Building Walls. In Giovanni Maria Farinella, Petia Radeva, Kadi Bouatouch, editors, Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2022, Volume 4: VISAPP, Online Streaming, February 6-8, 2022. pages 427-435, SCITEPRESS, 2022. [doi]

@inproceedings{KottlerLBW22,
  title = {3GAN: A Three-GAN-based Approach for Image Inpainting Applied to the Reconstruction of Occluded Parts of Building Walls},
  author = {Benedikt Kottler and Ludwig List and Dimitri Bulatov and Martin Weinmann},
  year = {2022},
  doi = {10.5220/0010830600003124},
  url = {https://doi.org/10.5220/0010830600003124},
  researchr = {https://researchr.org/publication/KottlerLBW22},
  cites = {0},
  citedby = {0},
  pages = {427-435},
  booktitle = {Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2022, Volume 4: VISAPP, Online Streaming, February 6-8, 2022},
  editor = {Giovanni Maria Farinella and Petia Radeva and Kadi Bouatouch},
  publisher = {SCITEPRESS},
  isbn = {978-989-758-555-5},
}