3 citations · 3 across the 2 of their papers we have counts for
4 papers · 1 filter
SMURF: Self-Teaching Multi-Frame Unsupervised RAFT with Full-Image Warping
Austin Stone, Daniel Maurer, Alper Ayvaci +2
We present SMURF, a method for unsupervised learning of optical flow that improves state of the art on all benchmarks by to (over the prior best method UFlow) and eve…
Technical Report on Visual Quality Assessment for Frame Interpolation
Hui Men, Hanhe Lin, Vlad Hosu +3
Current benchmarks for optical flow algorithms evaluate the estimation quality by comparing their predicted flow field with the ground truth, and additionally may compare interpola…
ProFlow: Learning to Predict Optical Flow
Daniel Maurer, Andrés Bruhn
Temporal coherence is a valuable source of information in the context of optical flow estimation. However, finding a suitable motion model to leverage this information is a non-tri…
Direct Variational Perspective Shape from Shading with Cartesian Depth Parametrisation
Yong Chul Ju, Daniel Maurer, Michael Breuß +1
Most of today's state-of-the-art methods for perspective shape from shading are modelled in terms of partial differential equations (PDEs) of Hamilton-Jacobi type. To improve the r…