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TwoStreamVAN: Improving Motion Modeling in Video Generation
2020 IEEE Winter Conference on Applications of Computer Vision (WACV)
Video generation is an inherently challenging task, as it requires modeling realistic temporal dynamics as well as spatial content. Existing methods entangle the two intrinsically different tasks of motion and content creation in a single generator network, but this approach struggles to simultaneously generate plausible motion and content. To improve motion modeling in video generation task, we propose a two-stream model that disentangles motion generation from content generation, called adoi:10.1109/wacv45572.2020.9093557 dblp:conf/wacv/SunXS20 fatcat:rjwvm6iqyfh3fhgp3bpv7hxgta