… For better future prediction, we decompose moving objects and static scenes from the input
image. After extracting moving objects, the area where moving objects were placed remains …

… generation) lack constraints on both appearance and motion components to predicted …
Mocogan: Decomposing motion and content for video generation. In Proceedings of the IEEE …

… In this paper, we innovatively model the motion representation and … neural video coding
method with decomposed motion (DMVC). More specifically, the motion can be decomposed …

… can be recalled from the limited input sequence. In addition, to resolve the bottleneck (ii),
we propose memory query decomposition to store local motion context (ie, low-dimensional …

… itself, making them difficult to adapt to ever-changing motions. We observe that physical
world motions can be decomposed into transient variation and motion trend, while the latter can …

… to interpret and modify the motion space. To do so, we decompose motion into semantic
sub-… Crucially, we have shown the ability of InMoDeGAN to decompose motion in semantic sub-…

… the ground truth motion, our model is able to predict the future motion in a more efficient way.
Meanwhile, we present more visualization results to show that predicted sequences are not …

… and decoders to help preserve the visual details of the predictions. We evaluate the MAU
on both video prediction and early action recognition tasks. Experimental results show that the …

… modeling in video generation. To generate motion efficiently, we decompose content and
motion in the generation phase and fuse them via a novel multi-scale mechanism. Combined …

… real videos from all datasets with the generated video sequences from our method. The
human raters ranked 25.71% of videos from our G3AN as more realistic than real videos, which …