no code implementations • 29 Sep 2020 • Maayan Shuvi, Noa Fish, Kfir Aberman, Ariel Shamir, Daniel Cohen-Or
Although simple, our framework synthesizes high-quality face reconstructions, demonstrating that given the statistical prior of a human face, multiple aligned pixelated frames contain sufficient information to reconstruct a high-quality approximation of the original signal.
1 code implementation • 4 Sep 2020 • Noa Fish, Lilach Perry, Amit Bermano, Daniel Cohen-Or
The paradigm of image-to-image translation is leveraged for the benefit of sketch stylization via transfer of geometric textural details.
no code implementations • 15 Jul 2020 • Moab Arar, Noa Fish, Dani Daniel, Evgeny Tenetov, Ariel Shamir, Amit Bermano
Drawing inspiration from Parameter Continuation methods, we propose steering the training process to consider specific features in the input more than others, through gradual shifts in the input domain.
1 code implementation • 29 Apr 2020 • Noa Fish, Richard Zhang, Lilach Perry, Daniel Cohen-Or, Eli Shechtman, Connelly Barnes
In image morphing, a sequence of plausible frames are synthesized and composited together to form a smooth transformation between given instances.
1 code implementation • 16 Sep 2018 • Rana Hanocka, Amir Hertz, Noa Fish, Raja Giryes, Shachar Fleishman, Daniel Cohen-Or
In this paper, we utilize the unique properties of the mesh for a direct analysis of 3D shapes using MeshCNN, a convolutional neural network designed specifically for triangular meshes.
1 code implementation • 23 Apr 2018 • Rana Hanocka, Noa Fish, Zhenhua Wang, Raja Giryes, Shachar Fleishman, Daniel Cohen-Or
The process of aligning a pair of shapes is a fundamental operation in computer graphics.