Rumpf, Martin
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1

Convergent autoencoder approximation of low bending and low..:

Braunsmann, Juliane ; Rajković, Marko ; Rumpf, Martin.
ESAIM: Mathematical Modelling and Numerical Analysis.  58 (2024)  1 - p. 335-361 , 2024
 
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3

The Variational Approach to the Flow of Sobolev-Diffeomorph..:

, In: Lecture Notes in Computer Science; Scale Space and Variational Methods in Computer Vision,
Guastini, Mara ; Rajković, Marko ; Rumpf, Martin. - p. 551-564 , 2023
 
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4

An Elastic Basis for Spectral Shape Correspondence:

, In: ACM SIGGRAPH 2023 Conference Proceedings,
 
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5

Geometry of Needle-Like Microstructures in Shape-Memory All..:

Conti, Sergio ; Lenz, Martin ; Rumpf, Martin..
Shape Memory and Superelasticity.  9 (2023)  3 - p. 437-446 , 2023
 
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6

Two-Scale Elastic Shape Optimization for Additive Manufactu..:

Conti, Sergio ; Rumpf, Martin ; Simon, Stefan
Multiscale Modeling & Simulation.  21 (2023)  1 - p. 119-142 , 2023
 
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8

Microstructure of macrointerfaces in shape-memory alloys:

Conti, Sergio ; Lenz, Martin ; Rumpf, Martin..
Journal of the Mechanics and Physics of Solids.  179 (2023)  - p. 105343 , 2023
 
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9

Consistent Approximation of Interpolating Splines in Image ..:

Justiniano, Jorge ; Rajković, Marko ; Rumpf, Martin
Journal of Mathematical Imaging and Vision.  65 (2022)  1 - p. 29-52 , 2022
 
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10

Mean curvature motion of point cloud varifolds:

Buet, Blanche ; Rumpf, Martin
ESAIM: Mathematical Modelling and Numerical Analysis.  56 (2022)  5 - p. 1773-1808 , 2022
 
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12

Splines for Image Metamorphosis:

, In: Lecture Notes in Computer Science; Scale Space and Variational Methods in Computer Vision,
 
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15

Learning low bending and low distortion manifold embeddings:

, In: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW),
 
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