Figure A4.

Prediction Quality for BAIR Robot Pushing. As seen before, the top row indicates the ground truth, wherein we feed 4 frames as context (from $t=0$ to $t=3$) and predict the next 16 frames (from $t=4$ to $t=19$). This is a low-resolution dataset ($64\times 64$) that captures the motion of a robotic hand as it manipulates multiple objects. Temporal consistency and occlusion handling are some of the big challenges for this dataset.