Associating Objects and Their Effects in Video

 Through Coordination Games

Supplementary Material

Main Project Page

 

 


Results on 4-Object Reflections

We demonstrate results of our model trained on the 2-Object Reflections dataset and tested on the 4-Object Reflections dataset (consisting of held-out objects and backgrounds). We show comparisons with Lu et. al [1].

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More Reflection video test results here: 4 objects, 2 objects

 


Results on 4-Object Shadows

We demonstrate results of our model trained on the 2-Object Shadows dataset and tested on the 4-Object Shadows dataset (consisting of held-out objects and backgrounds). We show comparisons with Lu et. al [1].

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More Shadow video test results here: 4 objects, 2 objects

 


Results on Real Videos

We demonstrate results on adapting our synthetic pretrained model to real videos and show comparisons with Lu et. al [1].

"Trampoline"


"Soccer"


"Dogwalk"


"Reflections"

 


References

[1] Erika Lu, Forrester Cole, Tali Dekel, Andrew Zisserman, William T Freeman, and Michael Rubinstein. Omnimatte: Associating Objects and Their Effects in Video. CVPR, 2021.