9 citations · 23 across the 6 of their papers we have counts for
9 papers
Specular-to-Diffuse Translation for Multi-View Reconstruction
Shihao Wu, Hui Huang, Tiziano Portenier +4
Most multi-view 3D reconstruction algorithms, especially when shape-from-shading cues are used, assume that object appearance is predominantly diffuse. To alleviate this restrictio…
GazeGAN - Unpaired Adversarial Image Generation for Gaze Estimation
Matan Sela, Pingmei Xu, Junfeng He +2
Recent research has demonstrated the ability to estimate gaze on mobile devices by performing inference on the image from the phone's front-facing camera, and without requiring spe…
Unrestricted Facial Geometry Reconstruction Using Image-to-Image Translation
Matan Sela, Elad Richardson, Ron Kimmel
It has been recently shown that neural networks can recover the geometric structure of a face from a single given image. A common denominator of most existing face geometry reconst…
Learning Detailed Face Reconstruction from a Single Image
Elad Richardson, Matan Sela, Roy Or-El +1
Reconstructing the detailed geometric structure of a face from a given image is a key to many computer vision and graphics applications, such as motion capture and reenactment. The…
3D Face Reconstruction by Learning from Synthetic Data
Elad Richardson, Matan Sela, Ron Kimmel
Fast and robust three-dimensional reconstruction of facial geometric structure from a single image is a challenging task with numerous applications. Here, we introduce a learning-b…
Fast Blended Transformations for Partial Shape Registration
Alon Shtern, Matan Sela, Ron Kimmel
Automatic estimation of skinning transformations is a popular way to deform a single reference shape into a new pose by providing a small number of control parameters. We generaliz…
Customized Facial Constant Positive Air Pressure (CPAP) Masks
Matan Sela, Nadav Toledo, Yaron Honen +1
Sleep apnea is a syndrome that is characterized by sudden breathing halts while sleeping. One of the common treatments involves wearing a mask that delivers continuous air flow int…
Randomized Independent Component Analysis
Matan Sela, Ron Kimmel
Independent component analysis (ICA) is a method for recovering statistically independent signals from observations of unknown linear combinations of the sources. Some of the most…
Consistent Discretization and Minimization of the L1 Norm on Manifolds
Alex Bronstein, Yoni Choukroun, Ron Kimmel +1
The L1 norm has been tremendously popular in signal and image processing in the past two decades due to its sparsity-promoting properties. More recently, its generalization to non-…