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Kenneth Vanhoey
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2020 – today
- 2022
- [c8]Kenneth Vanhoey, Jonathan Dupuy:
A Halfedge Refinement Rule for Parallel Loop Subdivision. Eurographics (Short Papers) 2022: 41-44 - 2021
- [j8]Jonathan Dupuy, Kenneth Vanhoey
:
A Halfedge Refinement Rule for Parallel Catmull-Clark Subdivision. Comput. Graph. Forum 40(8): 57-70 (2021) - [c7]Eric Heitz, Kenneth Vanhoey, Thomas Chambon, Laurent Belcour:
A Sliced Wasserstein Loss for Neural Texture Synthesis. CVPR 2021: 9412-9420 - 2020
- [i5]Eric Heitz, Kenneth Vanhoey, Thomas Chambon, Laurent Belcour:
Pitfalls of the Gram Loss for Neural Texture Synthesis in Light of Deep Feature Histograms. CoRR abs/2006.07229 (2020)
2010 – 2019
- 2018
- [j7]Louis Lettry, Kenneth Vanhoey, Luc Van Gool:
Unsupervised Deep Single-Image Intrinsic Decomposition using Illumination-Varying Image Sequences. Comput. Graph. Forum 37(7): 409-419 (2018) - [c6]Andrey Ignatov, Nikolay Kobyshev, Radu Timofte
WESPE: Weakly Supervised Photo Enhancer for Digital Cameras. CVPR Workshops 2018: 691-700 - [c5]Louis Lettry, Kenneth Vanhoey
DARN: A Deep Adversarial Residual Network for Intrinsic Image Decomposition. WACV 2018: 1359-1367 - [i4]Louis Lettry, Kenneth Vanhoey, Luc Van Gool:
Deep Unsupervised Intrinsic Image Decomposition by Siamese Training. CoRR abs/1803.00805 (2018) - 2017
- [j6]Kenneth Vanhoey
Visual Quality Assessment of 3D Models: On the Influence of Light-Material Interaction. ACM Trans. Appl. Percept. 15(1): 5:1-5:18 (2017) - [c4]Andrey Ignatov, Nikolay Kobyshev, Radu Timofte
DSLR-Quality Photos on Mobile Devices with Deep Convolutional Networks. ICCV 2017: 3297-3305 - [c3]Oliver Mattausch, Elizabeth Ren, Michael Bajka, Kenneth Vanhoey
Comparison of texture synthesis methods for content generation in ultrasound simulation for training. Medical Imaging: Image-Guided Procedures 2017: 1013523 - [c2]Kenneth Vanhoey
VarCity - the video: the struggles and triumphs of leveraging fundamental research results in a graphics video production. SIGGRAPH Talks 2017: 48:1-48:2 - [c1]Louis Lettry, Michal Perdoch, Kenneth Vanhoey, Luc Van Gool:
Repeated Pattern Detection Using CNN Activations. WACV 2017: 47-55 - [i3]Andrey Ignatov, Nikolay Kobyshev, Kenneth Vanhoey, Radu Timofte, Luc Van Gool:
DSLR-Quality Photos on Mobile Devices with Deep Convolutional Networks. CoRR abs/1704.02470 (2017) - [i2]Andrey Ignatov, Nikolay Kobyshev, Radu Timofte, Kenneth Vanhoey, Luc Van Gool:
WESPE: Weakly Supervised Photo Enhancer for Digital Cameras. CoRR abs/1709.01118 (2017) - 2016
- [i1]Louis Lettry, Kenneth Vanhoey, Luc Van Gool:
DARN: a Deep Adversial Residual Network for Intrinsic Image Decomposition. CoRR abs/1612.07899 (2016) - 2015
- [j5]Fumio Okura
Unifying Color and Texture Transfer for Predictive Appearance Manipulation. Comput. Graph. Forum 34(4): 53-63 (2015) - [j4]Kenneth Vanhoey
Simplification of meshes with digitized radiance. Vis. Comput. 31(6-8): 1011-1021 (2015) - 2014
- [b1]Kenneth Vanhoey:
Traitement conjoint de la géométrie et de la radiance d'objets 3D numérisés. (Joint treatment of geometry and radiance for 3D model digitisation). University of Strasbourg, France, 2014 - [j3]Guillaume Gilet, Basile Sauvage, Kenneth Vanhoey
Local random-phase noise for procedural texturing. ACM Trans. Graph. 33(6): 195:1-195:11 (2014) - 2013
- [j2]Kenneth Vanhoey
Robust Fitting on Poorly Sampled Data for Surface Light Field Rendering and Image Relighting. Comput. Graph. Forum 32(6): 101-112 (2013) - [j1]Kenneth Vanhoey
On-the-fly multi-scale infinite texturing from example. ACM Trans. Graph. 32(6): 208:1-208:10 (2013)
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