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23. Moritz Kampelmühler - Reactive Reality : On virtual dressing rooms and 3D reconstruction from plain images
# Show
Today on the show I have the pleasure to talk to Moritz Kampelmühler; Computer Vision and Machine Learning Research Engineer at Reactive Reality.
Reactive Reality is a spin-off from the Technical University of Graz that started out with developing a virtual dressing room that can be used by shoppers to create a virtual avatar of themselves and try out all kinds of different garments.
On the show, Moritz explains how they provide a rich shopper experience that scales making use of methods like photo-realistic rendering and state-of-the-art image processing in 2D and beyond.
In the second part of the Interview, we discuss the current research efforts at Reactive Reality that focus on 3D and how to create 3D reconstructions of people and garments from only a few or even a single picture.
# References
* Pictofit Shopping App: https://apps.apple.com/at/app/pictofit-shopping/id1527419372
* Saito, S., Huang, Z., Natsume, R., Morishima, S., Kanazawa, A., & Li, H. (2019). Pifu: Pixel-aligned implicit function for high-resolution clothed human digitization. In Proceedings of the IEEE/CVF International Conference on Computer Vision (pp. 2304-2314).
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By Manuel Pasieka# Show
Today on the show I have the pleasure to talk to Moritz Kampelmühler; Computer Vision and Machine Learning Research Engineer at Reactive Reality.
Reactive Reality is a spin-off from the Technical University of Graz that started out with developing a virtual dressing room that can be used by shoppers to create a virtual avatar of themselves and try out all kinds of different garments.
On the show, Moritz explains how they provide a rich shopper experience that scales making use of methods like photo-realistic rendering and state-of-the-art image processing in 2D and beyond.
In the second part of the Interview, we discuss the current research efforts at Reactive Reality that focus on 3D and how to create 3D reconstructions of people and garments from only a few or even a single picture.
# References
* Pictofit Shopping App: https://apps.apple.com/at/app/pictofit-shopping/id1527419372
* Saito, S., Huang, Z., Natsume, R., Morishima, S., Kanazawa, A., & Li, H. (2019). Pifu: Pixel-aligned implicit function for high-resolution clothed human digitization. In Proceedings of the IEEE/CVF International Conference on Computer Vision (pp. 2304-2314).
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