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TimeSformer is a vision transformer architecture for video that extends the standard attention mechanism into spatiotemporal attention. The model alternates attention along spatial and temporal dimensions (or designs variants like divided attention) so that it can capture both appearance and motion cues in video. Because the attention is global across frames, TimeSformer can reason about dependencies across long time spans, not just local neighborhoods. The official implementation in PyTorch...

...The drag-and-drop components allow Unity applications to run on a commodity PC cluster with passive support for stereoscopy, perspective correction according to the user's viewpoint and access to special servers to provide device-independent features. Cite us. Please check the package main paper (1), the survey used as base (2), and some multiprojection applications built with this custom Unity package (3). (1) http://link.springer.com/chapter/10.1007/978-3-319-21413-9_19 [best paper award] (2) http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7300728 (3) http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7272633 Access Files for package versions and an example project with documentation.

Translate your roleplaying adventure dungeons from pen&paper into 3D models and generate videos from a flight over your model dungeon or even through the rooms. Contains lots of objects (animated fireball, chest, rooms...), and camera path helpers...