Mentzer, Fabian

15 publications

ICLR 2024 Finite Scalar Quantization: VQ-VAE Made Simple Fabian Mentzer, David Minnen, Eirikur Agustsson, Michael Tschannen
ECCV 2024 GIVT: Generative Infinite-Vocabulary Transformers Michael Tschannen, Cian Eastwood, Fabian Mentzer
ICCV 2023 M2T: Masking Transformers Twice for Faster Decoding Fabian Mentzer, Eirikur Agustson, Michael Tschannen
CVPR 2023 Multi-Realism Image Compression with a Conditional Generator Eirikur Agustsson, David Minnen, George Toderici, Fabian Mentzer
ECCV 2022 Neural Video Compression Using GANs for Detail Synthesis and Propagation Fabian Mentzer, Eirikur Agustsson, Johannes Ballé, David Minnen, Nick Johnston, George Toderici
NeurIPS 2022 VCT: A Video Compression Transformer Fabian Mentzer, George D Toderici, David Minnen, Sergi Caelles, Sung Jin Hwang, Mario Lucic, Eirikur Agustsson
NeurIPS 2020 High-Fidelity Generative Image Compression Fabian Mentzer, George D Toderici, Michael Tschannen, Eirikur Agustsson
CVPR 2020 Learning Better Lossless Compression Using Lossy Compression Fabian Mentzer, Luc Van Gool, Michael Tschannen
CVPR 2020 Learning for Video Compression with Hierarchical Quality and Recurrent Enhancement Ren Yang, Fabian Mentzer, Luc Van Gool, Radu Timofte
ICCV 2019 Generative Adversarial Networks for Extreme Learned Image Compression Eirikur Agustsson, Michael Tschannen, Fabian Mentzer, Radu Timofte, Luc Van Gool
CVPR 2019 Practical Full Resolution Learned Lossless Image Compression Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool
CVPR 2018 Conditional Probability Models for Deep Image Compression Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool
CVPRW 2018 Extreme Learned Image Compression with GANs Eirikur Agustsson, Michael Tschannen, Fabian Mentzer, Radu Timofte, Luc Van Gool
ICLR 2018 Towards Image Understanding from Deep Compression Without Decoding Robert Torfason, Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool
NeurIPS 2017 Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations Eirikur Agustsson, Fabian Mentzer, Michael Tschannen, Lukas Cavigelli, Radu Timofte, Luca Benini, Luc V. Gool