The generator predicts the low-resolution result as well as the motion field that warps the input face to the desired status (e.g., expressions categories or action units). During inference, an HD input image is decomposed into a low-resolution component(128x128) and its corresponding high-frequency residuals. It only requires the generator to be trained on small images and can do inference on an image of any size. Specifically, the proposed framework consists of two modules, a novel two-stage neural-network generator and a novel post-processing module known as Animating Through Warping (ATW). Motivated by the idea that HD images can be generated by adding high-frequency residuals to low-resolution results produced by a neural network, we propose a novel framework known as Animating Through Warping (ATW) to enable efficient animation of HD images.
#Movie coherence movie#
Whereas, prior arts can only animate small images (typically no larger than 512x512) due to memory limitations, difficulty of training and lack of high-resolution (HD) training datasets, which significantly reduce their potential for applications in movie production and. View full-textĪdvances in deep neural networks have considerably improved the art of animating a still image without operating in 3D domain. The flashy colors without a discernable pattern might suggest to non-pathologists that histomorphology remains more of an art than a. The “old” cover was considered by many of its readers as ugly and not befitting a pathology journal. I am sure that you did not immediately recognize the journal, and I would not be surprised if the new morphology (to stay in pathospeak) of the journal stirs up a bit of discussion. We might be shown wrong in some of the choices made, but at least, we will have worked on implementing a clear vision.Let us start with the ugly. If our pretention is to be among the top Pathology journals in addition to being the oldest, we need to. In working on and for VIAR, we want to have an impact. The Editorial team of Virchows Archiv (VIAR) feels a bit in that position. In this classical Western movie, the guy nicknamed “the bad” faces a gun and says to its owner who is ready to shoot “if you miss, you had better miss very well”. Meeting abstract presented at VSS 2013 Read more Thus although dynamic search appears to be similar to search within a static ensemble that contains all of the information from across the dynamic display, dynamic search nonetheless benefits from spatial consistency and motion coherence.
And when spatial consistency was maintained but the order of frames was shuffled, performance was worse than with the original coherently changing dynamic displays (Exp. When the stimuli were presented over time as in the original dynamic displays, but the stimuli were repositioned in each frame, search was more difficult than with the original dynamic displays in which stimuli were in the same locations across frames (Exp. Dynamic search can, however, benefit from spatial consistency and motion coherence. This suggests that the representations of features from the changing scenes remain active for some time within the representation used in temporal search.
#Movie coherence series#
2a and 2b showed that when all stimuli from the dynamic display were presented in the same frame (removing temporal aspects), search was as difficult as when the stimuli were presented in the dynamic series of frames. Is search over time analogous to searching the same stimuli over space? Exp. A 3-frame movie has three times the number of distractors, and we know that increased target-distractor similarity in static displays can cause search inefficiency. display is part of a 3-frame movie of rotating bars (Exp. Search for a tilted bar among non-tilted bars displayed for 200 ms is highly accurate when this display is presented in isolation, but extremely difficult when the same. We have investigated the consequences of dynamics on the ability to perform orientation search (e.g., VSS 2011). Most visual search experiments use static scenes, but most visual search involves scenes that change over time.