3D Morphable Face Models—Past, Present, and Future B Egger, WAP Smith, A Tewari, S Wuhrer, M Zollhoefer, T Beeler, ... ACM Transactions on Graphics (TOG) 39 (5), 1-38, 2020 | 400 | 2020 |
Inverse rendering of faces with a 3D morphable model O Aldrian, WAP Smith IEEE Transactions on Pattern Analysis and Machine Intelligence 35 (5), 1080-1093, 2013 | 204 | 2013 |
InverseRenderNet: Learning single image inverse rendering Y Yu, WAP Smith Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 146 | 2019 |
Recovering facial shape using a statistical model of surface normal direction WAP Smith, ER Hancock IEEE Transactions on Pattern Analysis and Machine Intelligence 28 (12), 1914 …, 2006 | 146 | 2006 |
3d morphable face models revisited A Patel, WAP Smith 2009 IEEE Conference on Computer Vision and Pattern Recognition, 1327-1334, 2009 | 136 | 2009 |
A 3D Morphable Model of Craniofacial Shape and Texture Variation H Dai, N Pears, WAP Smith, C Duncan Proceedings of the IEEE International Conference on Computer Vision, 3085-3093, 2017 | 131 | 2017 |
Fitting a 3D morphable model to edges: A comparison between hard and soft correspondences A Bas, WAP Smith, T Bolkart, S Wuhrer Asian Conference on Computer Vision, 377-391, 2016 | 106 | 2016 |
Towards a complete 3D morphable model of the human head S Ploumpis, E Ververas, E O'Sullivan, S Moschoglou, H Wang, N Pears, ... IEEE transactions on pattern analysis and machine intelligence 43 (11), 4142 …, 2020 | 104 | 2020 |
Statistical modeling of craniofacial shape and texture H Dai, N Pears, W Smith, C Duncan International Journal of Computer Vision 128 (2), 547-571, 2020 | 97 | 2020 |
NeRF for Outdoor Scene Relighting V Rudnev, M Elgharib, W Smith, L Liu, V Golyanik, C Theobalt European Conference on Computer Vision, 615-631, 2022 | 93 | 2022 |
Orientation-aware semantic segmentation on icosahedron spheres C Zhang, S Liwicki, W Smith, R Cipolla Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 91 | 2019 |
Linear depth estimation from an uncalibrated, monocular polarisation image WAP Smith, R Ramamoorthi, S Tozza Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 91 | 2016 |
Combining 3d morphable models: A large scale face-and-head model S Ploumpis, H Wang, N Pears, WAP Smith, S Zafeiriou Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 90 | 2019 |
Depth from a polarisation + RGB stereo pair D Zhu, WAP Smith Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 76 | 2019 |
Facial shape-from-shading and recognition using principal geodesic analysis and robust statistics WAP Smith, ER Hancock International Journal of Computer Vision 76, 71-91, 2008 | 71 | 2008 |
3D Morphable Models as Spatial Transformer Networks A Bas, P Huber, WAP Smith, M Awais, J Kittler ICCV Workshop on Geometry Meets Deep Learning, 2017 | 70 | 2017 |
The M170 reflects a viewpoint-dependent representation for both familiar and unfamiliar faces MP Ewbank, WAP Smith, ER Hancock, TJ Andrews Cerebral Cortex 18 (2), 364-370, 2008 | 68 | 2008 |
A coupled statistical model for face shape recovery from brightness images M Castelan, WAP Smith, ER Hancock IEEE Transactions on Image Processing 16 (4), 1139-1151, 2007 | 66 | 2007 |
A morphable face albedo model WAP Smith, A Seck, H Dee, B Tiddeman, JB Tenenbaum, B Egger Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 59 | 2020 |
Height-from-polarisation with unknown lighting or albedo WAP Smith, R Ramamoorthi, S Tozza IEEE transactions on pattern analysis and machine intelligence 41 (12), 2875 …, 2019 | 59 | 2019 |