FlowPalm drives diffusion-based palmprint generation with optical flow priors to simulate complex non-rigid deformations while preserving identity, outperforming prior style-only methods on recognition benchmarks.
Generating stylized features for single-source cross-dataset palmprint recognition with unseen target dataset.IEEE Trans
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
FlowPalm: Optical Flow Driven Non-Rigid Deformation for Geometrically Diverse Palmprint Generation
FlowPalm drives diffusion-based palmprint generation with optical flow priors to simulate complex non-rigid deformations while preserving identity, outperforming prior style-only methods on recognition benchmarks.