by Martina Megaro | Nov 1, 2019 | Video Processing, Visual Computing
Blind image super resolution with spatially variant degradations We show how to extend our approach to spatially variant degradations that typically arise in visual effects pipelines when compositing content from different sources and how to enable both local and...
by Martina Megaro | Oct 27, 2019 | Animation, AR/VR, Visual Computing
Parameterized Animated Activities We propose a metadata representation that describes which aspects of an animation can be varied. October 28, 2019ACM MIG 2019 Authors Alba M. Rios Rodriguez (DisneyResearch|Studios/ETH Joint M.Sc.) Steven Poulakos...
by Sarah Frigg | Oct 27, 2019 | Video Processing, Visual Computing
Neural Inter-Frame Compression for Video Coding In this work we present an inter-frame compression approach for neural video coding that can seamlessly build up on different existing neural image codecs. October 27, 2019International Conference on Computer Vision...
by Martina Megaro | Sep 2, 2019 | Machine Learning
Spectrogram Feature Losses for Music Source Separation In this paper we study deep learning-based music source separation, and explore using an alternative loss to the standard spectrogram pixel-level L2 loss for model training. September 2, 2019Eusipco 2019 ...
by Martina Megaro | Jul 12, 2019 | Animation, AR/VR, Visual Computing
Tangent Space Optimization of Controls for Character Animation We formulate the control of interpolations in animation with positional constraints over time as a space-time optimization problem in the tangent space of the curves driving the animation controls. July...
