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sniklaus / 3d-ken-burns

3D Ken Burns Effect from a Single Image

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Run time and cost

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.



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].



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


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.


[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}


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