Fabian Mentzer

36 papers A* 10Journal 19Unranked 6
YearRankTypeTitle / Venue / Authors
2024 A* conf
Finite Scalar Quantization: VQ-VAE Made Simple.
ICLR
Fabian Mentzer, David Minnen, Eirikur Agustsson, Michael Tschannen
2024 — conf
GIVT: Generative Infinite-Vocabulary Transformers.
ECCV (57)
Michael Tschannen, Cian Eastwood, Fabian Mentzer
2023 J jnl
Finite Scalar Quantization: VQ-VAE Made Simple.
CoRR
Fabian Mentzer, David Minnen, Eirikur Agustsson, Michael Tschannen
2023 J jnl
GIVT: Generative Infinite-Vocabulary Transformers.
CoRR
Michael Tschannen, Cian Eastwood, Fabian Mentzer
2023 J jnl
High-Fidelity Image Compression with Score-based Generative Models.
CoRR
Emiel Hoogeboom, Eirikur Agustsson, Fabian Mentzer, Luca Versari, George Toderici, Lucas Theis
2023 A* conf
M2T: Masking Transformers Twice for Faster Decoding.
ICCV
Fabian Mentzer, Eirikur Agustsson, Michael Tschannen
2023 J jnl
M2T: Masking Transformers Twice for Faster Decoding.
CoRR
Fabian Mentzer, Eirikur Agustsson, Michael Tschannen
2023 A* conf
Multi-Realism Image Compression with a Conditional Generator.
CVPR
Eirikur Agustsson, David Minnen, George Toderici, Fabian Mentzer
2022 J jnl
Lossy Compression with Gaussian Diffusion.
CoRR
Lucas Theis, Tim Salimans, Matthew D. Hoffman, Fabian Mentzer
2022 J jnl
Multi-Realism Image Compression with a Conditional Generator.
CoRR
Eirikur Agustsson, David Minnen, George Toderici, Fabian Mentzer
2022 — conf
Neural Video Compression Using GANs for Detail Synthesis and Propagation.
ECCV (26)
Fabian Mentzer, Eirikur Agustsson, Johannes Ballé, David Minnen, Nick Johnston, George Toderici
2022 A* conf
VCT: A Video Compression Transformer.
NeurIPS
Fabian Mentzer, George Toderici, David Minnen, Sergi Caelles, Sung Jin Hwang, Mario Lucic, Eirikur Agustsson
2022 J jnl
VCT: A Video Compression Transformer.
CoRR
Fabian Mentzer, George Toderici, David Minnen, Sung Jin Hwang, Sergi Caelles, Mario Lucic, Eirikur Agustsson
2021 J jnl
Learning for Video Compression With Recurrent Auto-Encoder and Recurrent Probability Model.
IEEE J. Sel. Top. Signal Process.
Ren Yang, Fabian Mentzer, Luc Van Gool, Radu Timofte
2021 — —
Neural Image Compression: Lossy and Lossless Algorithms.
Fabian Mentzer
2021 J jnl
Towards Generative Video Compression.
CoRR
Fabian Mentzer, Eirikur Agustsson, Johannes Ballé, David Minnen, Nick Johnston, George Toderici
2020 A* conf
High-Fidelity Generative Image Compression.
NeurIPS
Fabian Mentzer, George Toderici, Michael Tschannen, Eirikur Agustsson
2020 J jnl
High-Fidelity Generative Image Compression.
CoRR
Fabian Mentzer, George Toderici, Michael Tschannen, Eirikur Agustsson
2020 A* conf
Learning Better Lossless Compression Using Lossy Compression.
CVPR
Fabian Mentzer, Luc Van Gool, Michael Tschannen
2020 J jnl
Learning Better Lossless Compression Using Lossy Compression.
CoRR
Fabian Mentzer, Luc Van Gool, Michael Tschannen
2020 A* conf
Learning for Video Compression With Hierarchical Quality and Recurrent Enhancement.
CVPR
Ren Yang, Fabian Mentzer, Luc Van Gool, Radu Timofte
2020 J jnl
Learning for Video Compression with Hierarchical Quality and Recurrent Enhancement.
CoRR
Ren Yang, Fabian Mentzer, Luc Van Gool, Radu Timofte
2020 J jnl
Learning for Video Compression with Recurrent Auto-Encoder and Recurrent Probability Model.
CoRR
Ren Yang, Fabian Mentzer, Luc Van Gool, Radu Timofte
2019 A* conf
Generative Adversarial Networks for Extreme Learned Image Compression.
ICCV
Eirikur Agustsson, Michael Tschannen, Fabian Mentzer, Radu Timofte, Luc Van Gool
2019 A* conf
Practical Full Resolution Learned Lossless Image Compression.
CVPR
Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool
2018 A* conf
Conditional Probability Models for Deep Image Compression.
CVPR
Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool
2018 J jnl
Conditional Probability Models for Deep Image Compression.
CoRR
Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool
2018 — conf
Extreme Learned Image Compression with GANs.
CVPR Workshops
Eirikur Agustsson, Michael Tschannen, Fabian Mentzer, Radu Timofte, Luc Van Gool
2018 J jnl
Generative Adversarial Networks for Extreme Learned Image Compression.
CoRR
Eirikur Agustsson, Michael Tschannen, Fabian Mentzer, Radu Timofte, Luc Van Gool
2018 J jnl
Practical Full Resolution Learned Lossless Image Compression.
CoRR
Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool
2018 — conf
Towards Image Understanding from Deep Compression Without Decoding.
ICLR (Poster)
Robert Torfason, Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool
2018 J jnl
Towards Image Understanding from Deep Compression without Decoding.
CoRR
Robert Torfason, Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool
2017 — conf
Deep structured features for semantic segmentation.
EUSIPCO
Michael Tschannen, Lukas Cavigelli, Fabian Mentzer, Thomas Wiatowski, Luca Benini
2017 J jnl
Soft-to-Hard Vector Quantization for End-to-End Learned Compression of Images and Neural Networks.
CoRR
Eirikur Agustsson, Fabian Mentzer, Michael Tschannen, Lukas Cavigelli, Radu Timofte, Luca Benini, Luc Van Gool
2017 — conf
Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations.
NIPS
Eirikur Agustsson, Fabian Mentzer, Michael Tschannen, Lukas Cavigelli, Radu Timofte, Luca Benini, Luc Van Gool
2016 J jnl
Deep Structured Features for Semantic Segmentation.
CoRR
Michael Tschannen, Lukas Cavigelli, Fabian Mentzer, Thomas Wiatowski, Luca Benini