by Martina Megaro | Jul 11, 2018 | Capture, Visual Computing
User-Guided Lip Correction for Facial Performance Capture We present a novel user-guided approach to correcting these common lip shape errors present in traditional capture systems. July 11, 2018ACM SIGGRAPH / Eurographics Symposium on Computer Animation (SCA) 2018...
by Martina Megaro | Jul 11, 2018 | Animation, Visual Computing
HairControl: A Tracking Solution for Directable Hair Simulation We present a method for adding artistic control to physics-based hair simulation. July 11, 2018ACM SIGGRAPH / Eurographics Symposium on Computer Animation (SCA) 2018 Authors Antoine Milliez...
by Martina Megaro | Jun 18, 2018 | Video Processing, Visual Computing
Normalized Cut Loss for Weakly-supervised CNN Segmentation Our normalized cut loss approach to segmentation brings the quality of weakly-supervised training significantly closer to fully supervised methods. June 18, 2018IEEE Conference on Computer Vision Pattern...
by Martina Megaro | Jun 18, 2018 | Video Processing, Visual Computing
PhaseNet for Video Frame Interpolation We propose a new approach, PhaseNet, that is designed to robustly handle challenging scenarios while also coping with larger motion. June 18, 2018IEEE Conference on Computer Vision Pattern Recognition (CVPR) 2018 Authors...
by Martina Megaro | Jun 18, 2018 | Video Processing, Visual Computing
A Progressive Approach to Single-Image Super-Resolution We propose a method (ProSR) that is progressive both in architecture and training: the network upsamples an image in intermediate steps, while the learning process is organized from easy to hard, as is done in...
