| 2024 | ICML | Neuroexplicit Diffusion Models for Inpainting of Optical Flow Fields. | Tom Fischer, Pascal Peter, Joachim Weickert, Eddy Ilg |
| 2022 | IBPRIA | Learning Sparse Masks for Diffusion-Based Image Inpainting. | Tobias Alt, Pascal Peter, Joachim Weickert |
| 2022 | PSIVT | A Wasserstein GAN for Joint Learning of Inpainting and Spatial Optimisation. | Pascal Peter |
| 2021 | PCS | JPEG Meets PDE-based Image Compression. | Sarah Andris, Joachim Weickert, Tobias Alt, Pascal Peter |
| 2020 | ICASSP | Compressing Flow Fields with Edge-Aware Homogeneous Diffusion Inpainting. | Ferdinand Jost, Pascal Peter, Joachim Weickert |
| 2019 | ICIP | Fast Inpainting-Based Compression: Combining Shepard Interpolation with Joint Inpainting and Prediction. | Pascal Peter |
| 2018 | ACIVS | Optimising Data for Exemplar-Based Inpainting. | Lena Karos, Pinak Bheed, Pascal Peter, Joachim Weickert |
| 2016 | ACIVS | Gradients versus Grey Values for Sparse Image Reconstruction and Inpainting-Based Compression. | Markus Schneider, Pascal Peter, Sebastian Hoffmann, Joachim Weickert, Enric Meinhardt-Llopis |
| 2016 | PCS | A proof-of-concept framework for PDE-based video compression. | Sarah Andris, Pascal Peter, Joachim Weickert |
| 2015 | PSIVT | From Optimised Inpainting with Linear PDEs Towards Competitive Image Compression Codecs. | Pascal Peter, Sebastian Hoffmann, Frank Nedwed, Laurent Hoeltgen, Joachim Weickert |
| 2014 | ICIP | Colour image compression with anisotropic diffusion. | Pascal Peter, Joachim Weickert |