Pascal Peter

According to our database, Pascal Peter authored at least 40 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Generalised Diffusion Probabilistic Scale-Spaces.

Pascal Peter

J. Math. Imaging Vis., August, 2024

Neuroexplicit Diffusion Models for Inpainting of Optical Flow Fields.

Tom Fischer, Pascal Peter, Joachim Weickert, Eddy Ilg

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Deep spatial and tonal data optimisation for homogeneous diffusion inpainting.

Pascal Peter, Karl Schrader, Tobias Alt, Joachim Weickert

Pattern Anal. Appl., November, 2023

Connections Between Numerical Algorithms for PDEs and Neural Networks.

Tobias Alt, Karl Schrader, Matthias Augustin, Pascal Peter, Joachim Weickert

J. Math. Imaging Vis., January, 2023

Generalised Probabilistic Diffusion Scale-Spaces.

Pascal Peter

CoRR, 2023

Efficient Neural Generation of 4K Masks for Homogeneous Diffusion Inpainting.

Karl Schrader, Pascal Peter, Niklas Kämper, Joachim Weickert

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2023

Generalised Scale-Space Properties for Probabilistic Diffusion Models.

Pascal Peter

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2023

Image Blending with Osmosis.

Paul Bungert, Pascal Peter, Joachim Weickert

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2023

2022

A Wasserstein GAN for Joint Learning of Inpainting and its Spatial Optimisation.

Pascal Peter

CoRR, 2022

A Wasserstein GAN for Joint Learning of Inpainting and Spatial Optimisation.

Pascal Peter

Proceedings of the Image and Video Technology - 10th Pacific-Rim Symposium, 2022

Learning Sparse Masks for Diffusion-Based Image Inpainting.

Tobias Alt, Pascal Peter, Joachim Weickert

Proceedings of the Pattern Recognition and Image Analysis - 10th Iberian Conference, 2022

2021

A systematic evaluation of coding strategies for sparse binary images.

Rahul Mohideen Kaja Mohideen, Pascal Peter, Joachim Weickert

Signal Process. Image Commun., 2021

Designing Rotationally Invariant Neural Networks from PDEs and Variational Methods.

Tobias Alt, Karl Schrader, Joachim Weickert, Pascal Peter, Matthias Augustin

CoRR, 2021

Quantisation Scale-Spaces.

Pascal Peter

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2021

Inpainting-Based Video Compression in FullHD.

Sarah Andris, Pascal Peter, Rahul Mohideen Kaja Mohideen, Joachim Weickert, Sebastian Hoffmann

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2021

Translating Numerical Concepts for PDEs into Neural Architectures.

Tobias Alt, Pascal Peter, Joachim Weickert, Karl Schrader

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2021

JPEG Meets PDE-based Image Compression.

Sarah Andris, Joachim Weickert, Tobias Alt, Pascal Peter

Proceedings of the Picture Coding Symposium, 2021

2020

Translating Diffusion, Wavelets, and Regularisation into Residual Networks.

Tobias Alt, Joachim Weickert, Pascal Peter

CoRR, 2020

Compressing Flow Fields with Edge-Aware Homogeneous Diffusion Inpainting.

Ferdinand Jost, Pascal Peter, Joachim Weickert

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Compressing Piecewise Smooth Images with the Mumford-Shah Cartoon Model.

Ferdinand Jost, Pascal Peter, Joachim Weickert

Proceedings of the 28th European Signal Processing Conference, 2020

2019

Compressing Audio Signals with Inpainting-Based Sparsification.

Pascal Peter, Jan Contelly, Joachim Weickert

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2019

Sparsification Scale-Spaces.

Marcelo Cárdenas, Pascal Peter, Joachim Weickert

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2019

Fast Inpainting-Based Compression: Combining Shepard Interpolation with Joint Inpainting and Prediction.

Pascal Peter

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018

Clustering-based quantisation for PDE-based image compression.

Laurent Hoeltgen, Pascal Peter, Michael Breuß

Signal Image Video Process., 2018

Optimising Data for Exemplar-Based Inpainting.

Lena Karos, Pinak Bheed, Pascal Peter, Joachim Weickert

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2018

2017

Turning Diffusion-Based Image Colorization Into Efficient Color Compression.

Pascal Peter, Lilli Kaufhold, Joachim Weickert

IEEE Trans. Image Process., 2017

Diffusion-Based Inpainting for Coding Remote-Sensing Data.

Naoufal Amrani, Joan Serra-Sagristà, Pascal Peter, Joachim Weickert

IEEE Geosci. Remote. Sens. Lett., 2017

Denoising by Inpainting.

Robin Dirk Adam, Pascal Peter, Joachim Weickert

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017

2016

Understanding and advancing PDE-based image compression.

Pascal Tobias Peter

PhD thesis, 2016

Evaluating the true potential of diffusion-based inpainting in a compression context.

Pascal Peter, Sebastian Hoffmann, Frank Nedwed, Laurent Hoeltgen, Joachim Weickert

Signal Process. Image Commun., 2016

A proof-of-concept framework for PDE-based video compression.

Sarah Andris, Pascal Peter, Joachim Weickert

Proceedings of the 2016 Picture Coding Symposium, 2016

Gradients versus Grey Values for Sparse Image Reconstruction and Inpainting-Based Compression.

Markus Schneider, Pascal Peter, Sebastian Hoffmann, Joachim Weickert, Enric Meinhardt-Llopis

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2016

2015

Beyond pure quality: Progressive modes, region of interest coding, and real time video decoding for PDE-based image compression.

Pascal Peter, Christian Schmaltz, Nicolas Mach, Markus Mainberger, Joachim Weickert

J. Vis. Commun. Image Represent., 2015

Compressing Images with Diffusion- and Exemplar-Based Inpainting.

Pascal Peter, Joachim Weickert

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015

From Optimised Inpainting with Linear PDEs Towards Competitive Image Compression Codecs.

Pascal Peter, Sebastian Hoffmann, Frank Nedwed, Laurent Hoeltgen, Joachim Weickert

Proceedings of the Image and Video Technology - 7th Pacific-Rim Symposium, 2015

2014

Understanding, Optimising, and Extending Data Compression with Anisotropic Diffusion.

Christian Schmaltz, Pascal Peter, Markus Mainberger, Franziska Ebel, Joachim Weickert, Andrés Bruhn

Int. J. Comput. Vis., 2014

Colour image compression with anisotropic diffusion.

Pascal Peter, Joachim Weickert

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Justifying Tensor-Driven Diffusion from Structure-Adaptive Statistics of Natural Images.

Pascal Peter, Joachim Weickert, Axel Munk, Tatyana Krivobokova, Housen Li

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2014

2013

Three-Dimensional Data Compression with Anisotropic Diffusion.

Pascal Peter

Proceedings of the Pattern Recognition - 35th German Conference, 2013

Refined Homotopic Thinning Algorithms and Quality Measures for Skeletonisation Methods.

Pascal Peter, Michael Breuß

Proceedings of the Innovations for Shape Analysis, Models and Algorithms, 2013