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High Resolution Multi-Scale RAFT (Robust Vision Challenge 2022). (arXiv:2210.16900v1 [cs.CV])
Nov. 1, 2022, 1:15 a.m. | Azin Jahedi, Maximilian Luz, Lukas Mehl, Marc Rivinius, Andrés Bruhn
cs.CV updates on arXiv.org arxiv.org
In this report, we present our optical flow approach, MS-RAFT+, that won the
Robust Vision Challenge 2022. It is based on the MS-RAFT method, which
successfully integrates several multi-scale concepts into single-scale RAFT.
Our approach extends this method by exploiting an additional finer scale for
estimating the flow, which is made feasible by on-demand cost computation. This
way, it can not only operate at half the original resolution, but also use
MS-RAFT's shared convex upsampler to obtain full resolution flow. …
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