Pascal Peter

48 papers A* 1B 4C 4Misc 2Journal 22Unranked 14
YearRankTypeTitle / Venue / Authors
2025 J jnl
Skeleton Sparsification and Densification Scale-Spaces.
CoRR
Julia Gierke, Pascal Peter
2025 — conf
Skeletonisation Scale-Spaces.
SSVM (2)
Julia Gierke, Pascal Peter
2024 J jnl
Generalised Diffusion Probabilistic Scale-Spaces.
J. Math. Imaging Vis.
Pascal Peter
2024 A* conf
Neuroexplicit Diffusion Models for Inpainting of Optical Flow Fields.
ICML
Tom Fischer, Pascal Peter, Joachim Weickert, Eddy Ilg
2024 J jnl
Neuroexplicit Diffusion Models for Inpainting of Optical Flow Fields.
CoRR
Tom Fischer, Pascal Peter, Joachim Weickert, Eddy Ilg
2023 J jnl
Connections Between Numerical Algorithms for PDEs and Neural Networks.
J. Math. Imaging Vis.
Tobias Alt, Karl Schrader, Matthias Augustin, Pascal Peter, Joachim Weickert
2023 J jnl
Deep spatial and tonal data optimisation for homogeneous diffusion inpainting.
Pattern Anal. Appl.
Pascal Peter, Karl Schrader, Tobias Alt, Joachim Weickert
2023 — conf
Efficient Neural Generation of 4K Masks for Homogeneous Diffusion Inpainting.
SSVM
Karl Schrader, Pascal Peter, Niklas Kämper, Joachim Weickert
2023 J jnl
Efficient Neural Generation of 4K Masks for Homogeneous Diffusion Inpainting.
CoRR
Karl Schrader, Pascal Peter, Niklas Kämper, Joachim Weickert
2023 J jnl
Generalised Probabilistic Diffusion Scale-Spaces.
CoRR
Pascal Peter
2023 — conf
Generalised Scale-Space Properties for Probabilistic Diffusion Models.
SSVM
Pascal Peter
2023 J jnl
Generalised Scale-Space Properties for Probabilistic Diffusion Models.
CoRR
Pascal Peter
2023 — conf
Image Blending with Osmosis.
SSVM
Paul Bungert, Pascal Peter, Joachim Weickert
2022 C conf
A Wasserstein GAN for Joint Learning of Inpainting and Spatial Optimisation.
PSIVT
Pascal Peter
2022 J jnl
A Wasserstein GAN for Joint Learning of Inpainting and its Spatial Optimisation.
CoRR
Pascal Peter
2022 Misc conf
Learning Sparse Masks for Diffusion-Based Image Inpainting.
IbPRIA
Tobias Alt, Pascal Peter, Joachim Weickert
2021 J jnl
A systematic evaluation of coding strategies for sparse binary images.
Signal Process. Image Commun.
Rahul Mohideen Kaja Mohideen, Pascal Peter, Joachim Weickert
2021 J jnl
Connections between Numerical Algorithms for PDEs and Neural Networks.
CoRR
Tobias Alt, Karl Schrader, Matthias Augustin, Pascal Peter, Joachim Weickert
2021 J jnl
Designing Rotationally Invariant Neural Networks from PDEs and Variational Methods.
CoRR
Tobias Alt, Karl Schrader, Joachim Weickert, Pascal Peter, Matthias Augustin
2021 — conf
Inpainting-Based Video Compression in FullHD.
SSVM
Sarah Andris, Pascal Peter, Rahul Mohideen Kaja Mohideen, Joachim Weickert, Sebastian Hoffmann
2021 C conf
JPEG Meets PDE-based Image Compression.
PCS
Sarah Andris, Joachim Weickert, Tobias Alt, Pascal Peter
2021 J jnl
Learning Sparse Masks for Diffusion-based Image Inpainting.
CoRR
Tobias Alt, Pascal Peter, Joachim Weickert
2021 — conf
Quantisation Scale-Spaces.
SSVM
Pascal Peter
2021 — conf
Translating Numerical Concepts for PDEs into Neural Architectures.
SSVM
Tobias Alt, Pascal Peter, Joachim Weickert, Karl Schrader
2021 J jnl
Translating Numerical Concepts for PDEs into Neural Architectures.
CoRR
Tobias Alt, Pascal Peter, Joachim Weickert, Karl Schrader
2020 Misc conf
Compressing Flow Fields with Edge-Aware Homogeneous Diffusion Inpainting.
ICASSP
Ferdinand Jost, Pascal Peter, Joachim Weickert
2020 — conf
Compressing Piecewise Smooth Images with the Mumford-Shah Cartoon Model.
EUSIPCO
Ferdinand Jost, Pascal Peter, Joachim Weickert
2020 J jnl
Translating Diffusion, Wavelets, and Regularisation into Residual Networks.
CoRR
Tobias Alt, Joachim Weickert, Pascal Peter
2019 — conf
Compressing Audio Signals with Inpainting-Based Sparsification.
SSVM
Pascal Peter, Jan Contelly, Joachim Weickert
2019 B conf
Fast Inpainting-Based Compression: Combining Shepard Interpolation with Joint Inpainting and Prediction.
ICIP
Pascal Peter
2019 — conf
Sparsification Scale-Spaces.
SSVM
Marcelo Cárdenas, Pascal Peter, Joachim Weickert
2018 J jnl
Clustering-based quantisation for PDE-based image compression.
Signal Image Video Process.
Laurent Hoeltgen, Pascal Peter, Michael Breuß
2018 B conf
Optimising Data for Exemplar-Based Inpainting.
ACIVS
Lena Karos, Pinak Bheed, Pascal Peter, Joachim Weickert
2017 J jnl
Clustering-Based Quantisation for PDE-Based Image Compression.
CoRR
Laurent Hoeltgen, Pascal Peter, Michael Breuß
2017 — conf
Denoising by Inpainting.
SSVM
Robin Dirk Adam, Pascal Peter, Joachim Weickert
2017 J jnl
Diffusion-Based Inpainting for Coding Remote-Sensing Data.
IEEE Geosci. Remote. Sens. Lett.
Naoufal Amrani, Joan Serra-Sagristà, Pascal Peter, Joachim Weickert
2017 J jnl
Turning Diffusion-Based Image Colorization Into Efficient Color Compression.
IEEE Trans. Image Process.
Pascal Peter, Lilli Kaufhold, Joachim Weickert
2016 C conf
A proof-of-concept framework for PDE-based video compression.
PCS
Sarah Andris, Pascal Peter, Joachim Weickert
2016 J jnl
Evaluating the true potential of diffusion-based inpainting in a compression context.
Signal Process. Image Commun.
Pascal Peter, Sebastian Hoffmann, Frank Nedwed, Laurent Hoeltgen, Joachim Weickert
2016 B conf
Gradients versus Grey Values for Sparse Image Reconstruction and Inpainting-Based Compression.
ACIVS
Markus Schneider, Pascal Peter, Sebastian Hoffmann, Joachim Weickert, Enric Meinhardt-Llopis
2015 J jnl
Beyond pure quality: Progressive modes, region of interest coding, and real time video decoding for PDE-based image compression.
J. Vis. Commun. Image Represent.
Pascal Peter, Christian Schmaltz, Nicolas Mach, Markus Mainberger, Joachim Weickert
2015 — conf
Compressing Images with Diffusion- and Exemplar-Based Inpainting.
SSVM
Pascal Peter, Joachim Weickert
2015 C conf
From Optimised Inpainting with Linear PDEs Towards Competitive Image Compression Codecs.
PSIVT
Pascal Peter, Sebastian Hoffmann, Frank Nedwed, Laurent Hoeltgen, Joachim Weickert
2014 B conf
Colour image compression with anisotropic diffusion.
ICIP
Pascal Peter, Joachim Weickert
2014 — conf
Justifying Tensor-Driven Diffusion from Structure-Adaptive Statistics of Natural Images.
EMMCVPR
Pascal Peter, Joachim Weickert, Axel Munk, Tatyana Krivobokova, Housen Li
2014 J jnl
Understanding, Optimising, and Extending Data Compression with Anisotropic Diffusion.
Int. J. Comput. Vis.
Christian Schmaltz, Pascal Peter, Markus Mainberger, Franziska Ebel, Joachim Weickert, Andrés Bruhn
2013 — ch.
Refined Homotopic Thinning Algorithms and Quality Measures for Skeletonisation Methods.
Innovations for Shape Analysis, Models and Algorithms
Pascal Peter, Michael Breuß
2013 — conf
Three-Dimensional Data Compression with Anisotropic Diffusion.
GCPR
Pascal Peter