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ORCIDFabian Mentzer
- > Home > Persons > Fabian Mentzer
Publications
- 2024
[c15]Fabian Mentzer, David Minnen, Eirikur Agustsson, Michael Tschannen:
Finite Scalar Quantization: VQ-VAE Made Simple. ICLR 2024- 2023
- [c14]Eirikur Agustsson, David Minnen, George Toderici, Fabian Mentzer:
Multi-Realism Image Compression with a Conditional Generator. CVPR 2023: 22324-22333 - [c13]Fabian Mentzer, Eirikur Agustsson, Michael Tschannen:
M2T: Masking Transformers Twice for Faster Decoding. ICCV 2023: 5317-5326 - [i18]Fabian Mentzer, Eirikur Agustsson, Michael Tschannen:
M2T: Masking Transformers Twice for Faster Decoding. CoRR abs/2304.07313 (2023) - [i17]Emiel Hoogeboom, Eirikur Agustsson, Fabian Mentzer, Luca Versari, George Toderici, Lucas Theis:
High-Fidelity Image Compression with Score-based Generative Models. CoRR abs/2305.18231 (2023) - [i16]Fabian Mentzer, David Minnen, Eirikur Agustsson, Michael Tschannen:
Finite Scalar Quantization: VQ-VAE Made Simple. CoRR abs/2309.15505 (2023) - 2022
- [c12]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: 562-578 - [c11]Fabian Mentzer, George Toderici, David Minnen, Sergi Caelles, Sung Jin Hwang, Mario Lucic, Eirikur Agustsson:
VCT: A Video Compression Transformer. NeurIPS 2022 - [i14]Fabian Mentzer, George Toderici, David Minnen, Sung Jin Hwang, Sergi Caelles, Mario Lucic, Eirikur Agustsson:
VCT: A Video Compression Transformer. CoRR abs/2206.07307 (2022) - [i12]Eirikur Agustsson, David Minnen, George Toderici, Fabian Mentzer:
Multi-Realism Image Compression with a Conditional Generator. CoRR abs/2212.13824 (2022) - 2021
- [i11]Fabian Mentzer, Eirikur Agustsson, Johannes Ballé, David Minnen, Nick Johnston, George Toderici:
Towards Generative Video Compression. CoRR abs/2107.12038 (2021) - 2020
- [c8]Fabian Mentzer, George Toderici, Michael Tschannen, Eirikur Agustsson:
High-Fidelity Generative Image Compression. NeurIPS 2020 - [i8]Fabian Mentzer, George Toderici, Michael Tschannen, Eirikur Agustsson:
High-Fidelity Generative Image Compression. CoRR abs/2006.09965 (2020) - 2019
- [c7]Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte
, Luc Van Gool:
Practical Full Resolution Learned Lossless Image Compression. CVPR 2019: 10629-10638 - [c6]Eirikur Agustsson, Michael Tschannen, Fabian Mentzer, Radu Timofte, Luc Van Gool:
Generative Adversarial Networks for Extreme Learned Image Compression. ICCV 2019: 221-231 - 2018
- [c5]Eirikur Agustsson, Michael Tschannen, Fabian Mentzer, Radu Timofte, Luc Van Gool:
Extreme Learned Image Compression with GANs. CVPR Workshops 2018: 2587-2590 - [c4]Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool:
Conditional Probability Models for Deep Image Compression. CVPR 2018: 4394-4402 - [c3]Robert Torfason, Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool:
Towards Image Understanding from Deep Compression Without Decoding. ICLR (Poster) 2018 - [i6]Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool:
Conditional Probability Models for Deep Image Compression. CoRR abs/1801.04260 (2018) - [i5]Robert Torfason, Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool:
Towards Image Understanding from Deep Compression without Decoding. CoRR abs/1803.06131 (2018) - [i4]Eirikur Agustsson, Michael Tschannen, Fabian Mentzer, Radu Timofte, Luc Van Gool:
Generative Adversarial Networks for Extreme Learned Image Compression. CoRR abs/1804.02958 (2018) - [i3]Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool:
Practical Full Resolution Learned Lossless Image Compression. CoRR abs/1811.12817 (2018) - 2017
- [c1]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: 1141-1151 - [i2]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 abs/1704.00648 (2017)
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