67 citations · 297 across the 34 of their papers we have counts for
5 papers · 1 filter
Learning to Deblur and Rotate Motion-Blurred Faces
Givi Meishvili, Attila Szabó, Simon Jenni +1
We propose a solution to the novel task of rendering sharp videos from new viewpoints from a single motion-blurred image of a face. Our method handles the complexity of face blur b…
Generative Adversarial Learning via Kernel Density Discrimination
Abdelhak Lemkhenter, Adam Bielski, Alp Eren Sari +1
We introduce Kernel Density Discrimination GAN (KDD GAN), a novel method for generative adversarial learning. KDD GAN formulates the training as a likelihood ratio optimization pro…
KOALA: A Kalman Optimization Algorithm with Loss Adaptivity
Aram Davtyan, Sepehr Sameni, Llukman Cerkezi +3
Optimization is often cast as a deterministic problem, where the solution is found through some iterative procedure such as gradient descent. However, when training neural networks…
A Unified Generative Adversarial Network Training via Self-Labeling and Self-Attention
Tomoki Watanabe, Paolo Favaro
We propose a novel GAN training scheme that can handle any level of labeling in a unified manner. Our scheme introduces a form of artificial labeling that can incorporate manually…
Optical Flow Dataset Synthesis from Unpaired Images
Adrian Wälchli, Paolo Favaro
The estimation of optical flow is an ambiguous task due to the lack of correspondence at occlusions, shadows, reflections, lack of texture and changes in illumination over time. Th…