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sniklaus / 3d-ken-burns

3D Ken Burns Effect from a Single Image

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  • 5.6K runs
  • GitHub
  • Paper
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Run time and cost

This model costs approximately $0.0030 to run on Replicate, or 333 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia T4 GPU hardware. Predictions typically complete within 14 seconds. The predict time for this model varies significantly based on the inputs.

Readme

3d-ken-burns

This is a reference implementation of 3D Ken Burns Effect from a Single Image [1] using PyTorch. Given a single input image, it animates this still image with a virtual camera scan and zoom subject to motion parallax. Should you be making use of our work, please cite our paper [1].

Paper

usage

The model takes in an image as input and produces an output .mp4 video which animates the image.

license

This is a project by Adobe Research. It is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Public License (CC BY-NC-SA 4.0) and may only be used for non-commercial purposes. Please see the LICENSE file for more information.

references

[1]  @article{Niklaus_TOG_2019,
         author = {Simon Niklaus and Long Mai and Jimei Yang and Feng Liu},
         title = {3D Ken Burns Effect from a Single Image},
         journal = {ACM Transactions on Graphics},
         volume = {38},
         number = {6},
         pages = {184:1--184:15},
         year = {2019}
     }

acknowledgment

The video above uses materials under a Creative Common license or with the owner’s permission, as detailed at the end.