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CoNeRF: Controllable Neural Radiance Fields

Dec 06, 2021
Kacper Kania, Kwang Moo Yi, Marek Kowalski, Tomasz Trzciński, Andrea Tagliasacchi

* Project page: 

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FastNeRF: High-Fidelity Neural Rendering at 200FPS

Apr 15, 2021
Stephan J. Garbin, Marek Kowalski, Matthew Johnson, Jamie Shotton, Julien Valentin

* main paper: 10 pages, 6 figures; supplementary: 10 pages, 17 figures 

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TrajeVAE -- Controllable Human Motion Generation from Trajectories

Apr 01, 2021
Kacper Kania, Marek Kowalski, Tomasz Trzciński

* Animations used in the paper can be found at 

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A high fidelity synthetic face framework for computer vision

Jul 16, 2020
Tadas Baltrusaitis, Erroll Wood, Virginia Estellers, Charlie Hewitt, Sebastian Dziadzio, Marek Kowalski, Matthew Johnson, Thomas J. Cashman, Jamie Shotton

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High Resolution Zero-Shot Domain Adaptation of Synthetically Rendered Face Images

Jun 26, 2020
Stephan J. Garbin, Marek Kowalski, Matthew Johnson, Jamie Shotton

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CONFIG: Controllable Neural Face Image Generation

May 12, 2020
Marek Kowalski, Stephan J. Garbin, Virginia Estellers, Tadas Baltrušaitis, Matthew Johnson, Jamie Shotton

* includes supplementary materials 

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HoloFace: Augmenting Human-to-Human Interactions on HoloLens

Feb 01, 2018
Marek Kowalski, Zbigniew Nasarzewski, Grzegorz Galinski, Piotr Garbat

* 9 pages, 7 figures, 2018 IEEE Winter Conference on Applications of Computer Vision (WACV 2018), YouTube video: 

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Deep Alignment Network: A convolutional neural network for robust face alignment

Aug 10, 2017
Marek Kowalski, Jacek Naruniec, Tomasz Trzcinski

* IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW) 2017 

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Face Alignment Using K-Cluster Regression Forests With Weighted Splitting

Jun 06, 2017
Marek Kowalski, Jacek Naruniec

* IEEE Signal Processing Letters, vol. 23, no. 11, pp. 1567-1571 (Nov. 2016) 
* Postprint of an article published in IEEE Signal Processing Letters in 2016. A video explaining the method: 

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