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...
by Martina Megaro | Jul 12, 2019 | Capture, VFX, Visual Computing
Accurate Markerless Jaw Tracking for Facial Performance Capture We present the first method to accurately track the invisible jaw based solely on the visible skin surface, without the need for any markers or augmentation of the actor. July 12, 2019ACM Siggraph 2019...
