2021
Learning Semantic-Aware Dynamics for Video Prediction
CVPR 2021poster
We propose an architecture and training scheme to predict video frames by explicitly modeling dis-occlusions and capturing the evolution of semantically consistent regions in the video. The scene layout (semantic map) and motion (optical flow) are decomposed into layers, which are predicted and fuse…