no code implementations • 16 Jan 2024 • Hancheng Zuo, Bernard Tiddeman
The generator aims to synthesize images aligning with the ground truth and deceive the discriminator, which differentiates between real and processed images.
1 code implementation • 1 Dec 2020 • Morteza Ghahremani, Yonghuai Liu, Bernard Tiddeman
In this paper, we show that robust and accurate keypoints exist in the specific scale-space domain.
1 code implementation • 21 Aug 2020 • Morteza Ghahremani, Bernard Tiddeman, Yonghuai Liu, Ardhendu Behera
Our method extracts the deep patterns inside a 3D object via creating a dynamic link to seek the most stable patterns and at once, throws away the unstable ones.
1 code implementation • CVPR 2020 • William A. P. Smith, Alassane Seck, Hannah Dee, Bernard Tiddeman, Joshua Tenenbaum, Bernhard Egger
In this paper, we bring together two divergent strands of research: photometric face capture and statistical 3D face appearance modelling.
no code implementations • 8 Sep 2016 • Alassane Seck, William A. P. Smith, Arnaud Dessein, Bernard Tiddeman, Hannah Dee, Abhishek Dutta
We present a practical approach to capturing ear-to-ear face models comprising both 3D meshes and intrinsic textures (i. e. diffuse and specular albedo).