Given two images depicting a person and a garment worn by another person, our goal is to generate a visualization of how the garment might look on the input person.
Our newly trained RAFT achieves an Fl-all score of 4. 31% on KITTI 2015, more accurate than all published optical flow methods at the time of writing.
Recent methods use multiple networks to estimate optical flow or depth and a separate network dedicated to frame synthesis.
Ranked #2 on Video Frame Interpolation on Xiph-4k
Video transmission applications (e. g., conferencing) are gaining momentum, especially in times of global health pandemic.
We propose a novel approach for image segmentation that combines Neural Ordinary Differential Equations (NODEs) and the Level Set method.
This paper presents a new Bayesian non-parametric model by extending the usage of Hierarchical Dirichlet Allocation to extract tree structured word clusters from text data.