Figure 1:

Retinal Optic Flow Learning (ROFL): a simulation platform for synthesizing naturalistic optic flow patterns. (a) The general setup includes a moving or stationary observer and a solid background, with optional moving object(s) in the scene. More details are provided in the appendix (section 13). (b) Example frames showcasing different categories (see Table 1 for definitions). (c, d) Demonstrating the causal effects of varying a single ground truth factor while keeping all others fixed: (c) $X_{obj}$, the $x$ component of object position (measured in retinal coordinates, orange), and (d) $F_x$, the $X$ component of the fixation point (measured in fixed coordinates, gray).