Abstract

We present DeepSIM, a generative model for conditional image manipulation based on a single image. We find that extensive augmentation is key for enabling single image training, and incorporate the use of thin-plate-spline (TPS) as an effective augmentation. Our network learns to map between a primitive representation of the image to the image itself. The choice of a primitive representation has an impact on the ease and expressiveness of the manipulations and can be automatic (e.g. edges), manual (e.g. segmentation) or hybrid such as edges on top of segmentations. At manipulation time, our generator allows for making complex image changes by modifying the primitive input representation and mapping it through the network. Our method is shown to achieve remarkable performance on image manipulation tasks.

...
Figure: Executing applications on dataflow accelerators require explicit management of computational, communication, and memory resource

Paper Details

Math Demo

\(\alpha = \beta\)

Normal Code

This is an academic paper project page template.

Example project pages built using this template are:

  • https://www.vision.huji.ac.il/deepsim/
  • https://www.vision.huji.ac.il/3d_ads/
  • https://www.vision.huji.ac.il/ssrl_ad/
  • https://www.vision.huji.ac.il/conffusion/

Start using the template

To start using the template click on Use this Template.

The template uses html for controlling the content and css for controlling the style. To edit the websites contents edit the index.html file. It contains different HTML “building blocks”, use whichever ones you need and comment out the rest.

IMPORTANT! Make sure to replace the favicon.ico under static/images/ with one of your own, otherwise your favicon is going to be a dreambooth image of me.

Components

  • Teaser video
  • Images Carousel
  • Youtube embedding
  • Video Carousel
  • PDF Poster
  • Bibtex citation

Tips:

  • The index.html file contains comments instructing you what to replace, you should follow these comments.
  • The meta tags in the index.html file are used to provide metadata about your paper (e.g. helping search engine index the website, showing a preview image when sharing the website, etc.)
  • The resolution of images and videos can usually be around 1920-2048, there rarely a need for better resolution that take longer to load.
  • All the images and videos you use should be compressed to allow for fast loading of the website (and thus better indexing by search engines). For images, you can use TinyPNG, for videos you can need to find the tradeoff between size and quality.
  • When using large video files (larger than 10MB), it’s better to use youtube for hosting the video as serving the video from the website can take time.
  • Using a tracker can help you analyze the traffic and see where users came from. statcounter is a free, easy to use tracker that takes under 5 minutes to set up.
  • This project page can also be made into a github pages website.
  • Replace the favicon to one of your choosing (the default one is of the Hebrew University).
  • Suggestions, improvements and comments are welcome, simply open an issue or contact me. You can find my contact information at https://pages.cs.huji.ac.il/eliahu-horwitz/

Acknowledgments

Parts of this project page were adopted from the Nerfies page.

Website License

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Bibtex

@book{ruby,
  title     = {The Ruby Programming Language},
  author    = {Flanagan, David and Matsumoto, Yukihiro},
  year      = {2008},
  publisher = {O'Reilly Media}
}
Author Details