Pascal Peter

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 40

Top Topics

Numerical Algorithms

Diffusion Models

Image Compression

Neural Architectures

Top Venues

J. Math. Imaging Vis.

Publications

Pascal Peter
Generalised Diffusion Probabilistic Scale-Spaces. J. Math. Imaging Vis. 66 (4) (2024)
Tom Fischer, Pascal Peter, Joachim Weickert, Eddy Ilg
Neuroexplicit Diffusion Models for Inpainting of Optical Flow Fields. CoRR (2024)
Karl Schrader, Pascal Peter, Niklas Kämper, Joachim Weickert
Efficient Neural Generation of 4K Masks for Homogeneous Diffusion Inpainting. CoRR (2023)
Pascal Peter
Generalised Scale-Space Properties for Probabilistic Diffusion Models. SSVM (2023)
Pascal Peter
Generalised Scale-Space Properties for Probabilistic Diffusion Models. CoRR (2023)
Paul Bungert, Pascal Peter, Joachim Weickert
Image Blending with Osmosis. SSVM (2023)
Tobias Alt, Karl Schrader, Matthias Augustin, Pascal Peter, Joachim Weickert
Connections Between Numerical Algorithms for PDEs and Neural Networks. J. Math. Imaging Vis. 65 (1) (2023)
Pascal Peter, Karl Schrader, Tobias Alt, Joachim Weickert
Deep spatial and tonal data optimisation for homogeneous diffusion inpainting. Pattern Anal. Appl. 26 (4) (2023)
Pascal Peter
Generalised Probabilistic Diffusion Scale-Spaces. CoRR (2023)
Karl Schrader, Pascal Peter, Niklas Kämper, Joachim Weickert
Efficient Neural Generation of 4K Masks for Homogeneous Diffusion Inpainting. SSVM (2023)
Pascal Peter
A Wasserstein GAN for Joint Learning of Inpainting and Spatial Optimisation. PSIVT (2022)
Pascal Peter
A Wasserstein GAN for Joint Learning of Inpainting and its Spatial Optimisation. CoRR (2022)
Tobias Alt, Pascal Peter, Joachim Weickert
Learning Sparse Masks for Diffusion-Based Image Inpainting. IbPRIA (2022)
Tobias Alt, Pascal Peter, Joachim Weickert
Learning Sparse Masks for Diffusion-based Image Inpainting. CoRR (2021)
Pascal Peter
Quantisation Scale-Spaces. SSVM (2021)
Rahul Mohideen Kaja Mohideen, Pascal Peter, Joachim Weickert
A systematic evaluation of coding strategies for sparse binary images. Signal Process. Image Commun. 99 (2021)
Tobias Alt, Pascal Peter, Joachim Weickert, Karl Schrader
Translating Numerical Concepts for PDEs into Neural Architectures. SSVM (2021)
Sarah Andris, Pascal Peter, Rahul Mohideen Kaja Mohideen, Joachim Weickert, Sebastian Hoffmann
Inpainting-Based Video Compression in FullHD. SSVM (2021)
Tobias Alt, Karl Schrader, Joachim Weickert, Pascal Peter, Matthias Augustin
Designing Rotationally Invariant Neural Networks from PDEs and Variational Methods. CoRR (2021)
Tobias Alt, Pascal Peter, Joachim Weickert, Karl Schrader
Translating Numerical Concepts for PDEs into Neural Architectures. CoRR (2021)
Tobias Alt, Karl Schrader, Matthias Augustin, Pascal Peter, Joachim Weickert
Connections between Numerical Algorithms for PDEs and Neural Networks. CoRR (2021)
Sarah Andris, Joachim Weickert, Tobias Alt, Pascal Peter
JPEG Meets PDE-based Image Compression. PCS (2021)
Ferdinand Jost, Pascal Peter, Joachim Weickert
Compressing Piecewise Smooth Images with the Mumford-Shah Cartoon Model. EUSIPCO (2020)
Ferdinand Jost, Pascal Peter, Joachim Weickert
Compressing Flow Fields with Edge-Aware Homogeneous Diffusion Inpainting. ICASSP (2020)
Tobias Alt, Joachim Weickert, Pascal Peter
Translating Diffusion, Wavelets, and Regularisation into Residual Networks. CoRR (2020)
Pascal Peter, Jan Contelly, Joachim Weickert
Compressing Audio Signals with Inpainting-Based Sparsification. SSVM (2019)
Marcelo Cárdenas, Pascal Peter, Joachim Weickert
Sparsification Scale-Spaces. SSVM (2019)
Pascal Peter
Fast Inpainting-Based Compression: Combining Shepard Interpolation with Joint Inpainting and Prediction. ICIP (2019)
Lena Karos, Pinak Bheed, Pascal Peter, Joachim Weickert
Optimising Data for Exemplar-Based Inpainting. ACIVS (2018)
Laurent Hoeltgen, Pascal Peter, Michael Breuß
Clustering-based quantisation for PDE-based image compression. Signal Image Video Process. 12 (3) (2018)
Laurent Hoeltgen, Pascal Peter, Michael Breuß
Clustering-Based Quantisation for PDE-Based Image Compression. CoRR (2017)
Robin Dirk Adam, Pascal Peter, Joachim Weickert
Denoising by Inpainting. SSVM (2017)
Pascal Peter, Lilli Kaufhold, Joachim Weickert
Turning Diffusion-Based Image Colorization Into Efficient Color Compression. IEEE Trans. Image Process. 26 (2) (2017)
Naoufal Amrani, Joan Serra-Sagristà, Pascal Peter, Joachim Weickert
Diffusion-Based Inpainting for Coding Remote-Sensing Data. IEEE Geosci. Remote. Sens. Lett. 14 (8) (2017)
Pascal Peter, Sebastian Hoffmann, Frank Nedwed, Laurent Hoeltgen, Joachim Weickert
Evaluating the true potential of diffusion-based inpainting in a compression context. Signal Process. Image Commun. 46 (2016)
Sarah Andris, Pascal Peter, Joachim Weickert
A proof-of-concept framework for PDE-based video compression. PCS (2016)
Markus Schneider, Pascal Peter, Sebastian Hoffmann, Joachim Weickert, Enric Meinhardt-Llopis
Gradients versus Grey Values for Sparse Image Reconstruction and Inpainting-Based Compression. ACIVS (2016)
Pascal Peter, Joachim Weickert
Compressing Images with Diffusion- and Exemplar-Based Inpainting. SSVM (2015)
Pascal Peter, Sebastian Hoffmann, Frank Nedwed, Laurent Hoeltgen, Joachim Weickert
From Optimised Inpainting with Linear PDEs Towards Competitive Image Compression Codecs. PSIVT (2015)
Pascal Peter, Christian Schmaltz, Nicolas Mach, Markus Mainberger, Joachim Weickert
Beyond pure quality: Progressive modes, region of interest coding, and real time video decoding for PDE-based image compression. J. Vis. Commun. Image Represent. 31 (2015)
Pascal Peter, Joachim Weickert
Colour image compression with anisotropic diffusion. ICIP (2014)
Christian Schmaltz, Pascal Peter, Markus Mainberger, Franziska Ebel, Joachim Weickert, Andrés Bruhn
Understanding, Optimising, and Extending Data Compression with Anisotropic Diffusion. Int. J. Comput. Vis. 108 (3) (2014)
Pascal Peter, Joachim Weickert, Axel Munk, Tatyana Krivobokova, Housen Li
Justifying Tensor-Driven Diffusion from Structure-Adaptive Statistics of Natural Images. EMMCVPR (2014)
Pascal Peter
Three-Dimensional Data Compression with Anisotropic Diffusion. GCPR (2013)