Fabian Mentzer
Updates on
Twitter
Code on
GitHub
Publications
below
Blog Posts
below
Music
on YouTube
and
SoundCloud
(
nerodiseppia.ch
) 🎵 🎹
Publications
Google Scholar
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
arXiv
Gemini Team
arxiv (2024)
GIVT: Generative Infinite-Vocabulary Transformers
arXiv
Michael Tschannen, Cian Eastwood, Fabian Mentzer
ECCV 2024
Finite Scalar Quantization: VQ-VAE Made Simple
arXiv
Fabian Mentzer, David Minnen, Eirikur Agustsson, Michael Tschannen
ICLR 2024
High-Fidelity Image Compression with Score-based Generative Models
arXiv
Emiel Hoogeboom, Eirikur Agustsson, Fabian Mentzer, Luca Versari, George Toderici, Lucas Theis
preprint (2023)
M2T: Masking Transformers Twice for Faster Decoding
arXiv
Fabian Mentzer, Eirikur Agustsson, Michael Tschannen
ICCV 2023
Multi-Realism Image Compression with a Conditional Generator
arXiv
Eirikur Agustsson, David Minnen, George Toderici, Fabian Mentzer
CVPR 2023
Lossy Compression with Gaussian Diffusion
arXiv
Lucas Theis, Tim Salimans, Matthew D. Hoffman, Fabian Mentzer
ArXiv (2022)
VCT: A Video Compression Transformer
arXiv
Fabian Mentzer, George Toderici, David Minnen, Sung-Jin Hwang, Sergi Caelles, Mario Lucic, and Eirikur Agustsson
NeurIPS 2022
Neural Video Compression using GANs for Detail Synthesis and Propagation
arXiv
Mentzer*, Fabian, Agustsson*, Eirikur, Ballé, Johannes, Minnen, David, Johnston, Nick, and Toderici, George
ECCV 2022
High-Fidelity Generative Image Compression
Demo
arXiv
Mentzer, Fabian, Toderici, George, Tschannen, Michael, and Agustsson, Eirikur
NeurIPS 2020
(Oral)
Learning better lossless image compression using lossy compression
arXiv
Mentzer, Fabian, Van Gool, Luc, and Tschannen, Michael
CVPR 2020
Learning for Video Compression with Hierarchical Quality and Recurrent Enhancement
arXiv
Yang, Ren, Mentzer, Fabian, Van Gool, Luc, and Timofte, Radu
CVPR 2020
Practical full resolution learned lossless image compression
arXiv
Mentzer, Fabian, Agustsson, Eirikur, Tschannen, Michael, Timofte, Radu, and Van Gool, Luc
CVPR 2019
(Oral)
Generative adversarial networks for extreme learned image compression
arXiv
Agustsson*, Eirikur, Tschannen*, Michael, Mentzer*, Fabian, Timofte, Radu, and Van Gool, Luc
ICCV 2019
Towards image understanding from deep compression without decoding
arXiv
Torfason, Róbert, Mentzer, Fabian, Agustsson, Eirikur, Tschannen, Michael, Timofte, Radu, and Van Gool, Luc
ICLR 2018
Conditional probability models for deep image compression
arXiv
Mentzer*, Fabian, Agustsson*, Eirikur, Tschannen, Michael, Timofte, Radu, and Van Gool, Luc
CVPR 2018
Deep structured features for semantic segmentation
arXiv
Tschannen, Michael, Cavigelli, Lukas, Mentzer, Fabian, Wiatowski, Thomas, and Benini, Luca
EUSIPCO 2017
Soft-to-hard vector quantization for end-to-end learning compressible representations
arXiv
Agustsson, Eirikur, Mentzer, Fabian, Tschannen, Michael, Cavigelli, Lukas, Timofte, Radu, Benini, Luca, and Van Gool, Luc
NIPS 2017
Blog Posts
Reverse-Engineering Apple Dictionary