1080p — Flow

Optical flow estimation remains a cornerstone of computer vision, yet achieving dense, accurate flow fields at full HD resolution (1080p) in real time presents significant computational challenges. This paper introduces Flow 1080p , a novel hybrid architecture combining sparse feature matching with learned upsampling to generate 1920×1080 pixel flow fields at ≥30 FPS on consumer hardware. We demonstrate applications in real-time video interpolation, motion segmentation, and artistic flow visualization. Our method reduces memory bandwidth by 62% compared to dense full-resolution methods while maintaining endpoint error below 0.3 pixels on standard benchmarks.

: 1080p means 1920 x 1080 pixels , totaling over 2 million pixels per frame . flow 1080p

The architecture comprises three stages: Optical flow estimation remains a cornerstone of computer