mlsanityData to 7 Oct 2026

Metamorphic image registration using a semi-Lagrangian scheme

arXiv 2106.08817 ↗First posted 16 Jun 2021cs.CVcited by 6

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Abstract (arXiv)

In this paper, we propose an implementation of both Large Deformation Diffeomorphic Metric Mapping (LDDMM) and Metamorphosis image registration using a semi-Lagrangian scheme for geodesic shooting. We propose to solve both problems as an inexact matching providing a single and unifying cost function. We demonstrate that for image registration the use of a semi-Lagrangian scheme is more stable than a standard Eulerian scheme. Our GPU implementation is based on PyTorch, which greatly simplifies and accelerates the computations thanks to its powerful automatic differentiation engine. It will be freely available at https://github.com/antonfrancois/Demeter_metamorphosis.

Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 2 of its 19 references that are in the map. First posted on arXiv 16 Jun 2021.

Builds on

2 of 19 references.

References · 2

  1. 2018Image reconstruction through metamorphosiscited by 2
  2. 2014Metamorphosis of Images in Reproducing Kernel Hilbert Spacescited by 1

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 2; 2023: 2; 2024: 0; 2025: 1; 2026: 1.

6 papers.