Execution Evidence · nmVR Camera
Adaptive Camera Control
Neural vs Cinemachine-like baseline for fast sports tracking and VR horizon stabilization
The neural camera stays steadier through sharp turns, frame drops, and head bobble while the classical baseline reacts later and swings wider
Neural
Cinemachine-like
Connecting...
Sports - Top View
Cinemachine-like
Neural
Target
The red baseline follows well in calm motion, but it swings wider when the frame rate drops. The blue neural camera predicts where motion is going next, so aiming stays tighter and easier to read during sprints and direction changes.
Why it matters: in sports and action games, steadier tracking means clearer target framing, less camera whip, and more room to push speed without making the scene feel unstable.
VR - Horizon Stabilization
Cinemachine-like
Neural
Target / Raw Motion
Here, the best result is the flattest line. White is the original head motion. Red and blue show how much shake is left after correction. If blue is flatter than red, the neural controller is doing a better job stabilizing the horizon.
Why it matters: a more stable horizon can reduce discomfort, keep motion easier to read, and make VR feel safer during movement.
Cinemachine-like Error: - px
Overshoot: - px
Jitter: -
FPS: -
Neural Error: - px
Overshoot: - px
Jitter: -
VR Residual: -