Fabian Mentzer

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 34

Top Topics

Image Compression

Top Venues

Publications

Fabian Mentzer, David Minnen, Eirikur Agustsson, Michael Tschannen
Finite Scalar Quantization: VQ-VAE Made Simple. ICLR (2024)
Fabian Mentzer, David Minnen, Eirikur Agustsson, Michael Tschannen
Finite Scalar Quantization: VQ-VAE Made Simple. CoRR (2023)
Fabian Mentzer, Eirikur Agustsson, Michael Tschannen
M2T: Masking Transformers Twice for Faster Decoding. ICCV (2023)
Fabian Mentzer, Eirikur Agustsson, Michael Tschannen
M2T: Masking Transformers Twice for Faster Decoding. CoRR (2023)
Emiel Hoogeboom, Eirikur Agustsson, Fabian Mentzer, Luca Versari, George Toderici, Lucas Theis
High-Fidelity Image Compression with Score-based Generative Models. CoRR (2023)
Eirikur Agustsson, David Minnen, George Toderici, Fabian Mentzer
Multi-Realism Image Compression with a Conditional Generator. CVPR (2023)
Michael Tschannen, Cian Eastwood, Fabian Mentzer
GIVT: Generative Infinite-Vocabulary Transformers. CoRR (2023)
Lucas Theis, Tim Salimans, Matthew D. Hoffman, Fabian Mentzer
Lossy Compression with Gaussian Diffusion. CoRR (2022)
Fabian Mentzer, George Toderici, David Minnen, Sergi Caelles, Sung Jin Hwang, Mario Lucic, Eirikur Agustsson
VCT: A Video Compression Transformer. NeurIPS (2022)
Fabian Mentzer, George Toderici, David Minnen, Sung Jin Hwang, Sergi Caelles, Mario Lucic, Eirikur Agustsson
VCT: A Video Compression Transformer. CoRR (2022)
Eirikur Agustsson, David Minnen, George Toderici, Fabian Mentzer
Multi-Realism Image Compression with a Conditional Generator. CoRR (2022)
Fabian Mentzer, Eirikur Agustsson, Johannes Ballé, David Minnen, Nick Johnston, George Toderici
Neural Video Compression Using GANs for Detail Synthesis and Propagation. ECCV (26) (2022)
Fabian Mentzer, Eirikur Agustsson, Johannes Ballé, David Minnen, Nick Johnston, George Toderici
Towards Generative Video Compression. CoRR (2021)
Ren Yang, Fabian Mentzer, Luc Van Gool, Radu Timofte
Learning for Video Compression With Recurrent Auto-Encoder and Recurrent Probability Model. IEEE J. Sel. Top. Signal Process. 15 (2) (2021)
Fabian Mentzer, George Toderici, Michael Tschannen, Eirikur Agustsson
High-Fidelity Generative Image Compression. CoRR (2020)
Ren Yang, Fabian Mentzer, Luc Van Gool, Radu Timofte
Learning for Video Compression with Recurrent Auto-Encoder and Recurrent Probability Model. CoRR (2020)
Ren Yang, Fabian Mentzer, Luc Van Gool, Radu Timofte
Learning for Video Compression with Hierarchical Quality and Recurrent Enhancement. CoRR (2020)
Fabian Mentzer, George Toderici, Michael Tschannen, Eirikur Agustsson
High-Fidelity Generative Image Compression. NeurIPS (2020)
Ren Yang, Fabian Mentzer, Luc Van Gool, Radu Timofte
Learning for Video Compression With Hierarchical Quality and Recurrent Enhancement. CVPR (2020)
Fabian Mentzer, Luc Van Gool, Michael Tschannen
Learning Better Lossless Compression Using Lossy Compression. CoRR (2020)
Fabian Mentzer, Luc Van Gool, Michael Tschannen
Learning Better Lossless Compression Using Lossy Compression. CVPR (2020)
Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool
Practical Full Resolution Learned Lossless Image Compression. CVPR (2019)
Eirikur Agustsson, Michael Tschannen, Fabian Mentzer, Radu Timofte, Luc Van Gool
Generative Adversarial Networks for Extreme Learned Image Compression. ICCV (2019)
Eirikur Agustsson, Michael Tschannen, Fabian Mentzer, Radu Timofte, Luc Van Gool
Generative Adversarial Networks for Extreme Learned Image Compression. CoRR (2018)
Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool
Conditional Probability Models for Deep Image Compression. CoRR (2018)
Robert Torfason, Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool
Towards Image Understanding from Deep Compression Without Decoding. ICLR (Poster) (2018)
Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool
Practical Full Resolution Learned Lossless Image Compression. CoRR (2018)
Eirikur Agustsson, Michael Tschannen, Fabian Mentzer, Radu Timofte, Luc Van Gool
Extreme Learned Image Compression with GANs. CVPR Workshops (2018)
Robert Torfason, Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool
Towards Image Understanding from Deep Compression without Decoding. CoRR (2018)
Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool
Conditional Probability Models for Deep Image Compression. CVPR (2018)
Eirikur Agustsson, Fabian Mentzer, Michael Tschannen, Lukas Cavigelli, Radu Timofte, Luca Benini, Luc Van Gool
Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations. NIPS (2017)
Michael Tschannen, Lukas Cavigelli, Fabian Mentzer, Thomas Wiatowski, Luca Benini
Deep structured features for semantic segmentation. EUSIPCO (2017)
Eirikur Agustsson, Fabian Mentzer, Michael Tschannen, Lukas Cavigelli, Radu Timofte, Luca Benini, Luc Van Gool
Soft-to-Hard Vector Quantization for End-to-End Learned Compression of Images and Neural Networks. CoRR (2017)
Michael Tschannen, Lukas Cavigelli, Fabian Mentzer, Thomas Wiatowski, Luca Benini
Deep Structured Features for Semantic Segmentation. CoRR (2016)