RAFT computes dense optical flow with high accuracy by iteratively refining its estimate, handling large and complex motion better than older equation-based methods. It is the go-to when flow quality matters more than the lightest possible compute.
The book · Volume 6 of 7
AI for Video: A Complete Guide to Intelligence in Video Products: From Models and Inference to Computer Vision, Speech, Search, and Generative Video
RAFT matters when classical optical flow breaks on fast or complex motion and downstream stabilisation or interpolation starts to drift. Volume 6 covers RAFT in detail inside its computer vision part: motion and tracking primitives, model artifacts, deployment topologies and the ML minimum needed to pick the right flow model. Written by Nikolay Sapunov, CEO at Fora Soft.
Choosing between RAFT and lighter optical flow for your video pipeline?
Send us your footage and latency budget, and we will recommend a flow model, its runtime target and the expected cost per processed hour. 250+ video products shipped since 2005.
