Publications with the keyword "compression"
L. Theis
What makes an image realistic?
Proceedings of the 41st International Conference on Machine Learning, 2024
#perceptual quality #realism #compression #generative modeling #outlier detection
URL RIS BibTex
What makes an image realistic?
Proceedings of the 41st International Conference on Machine Learning, 2024
#perceptual quality #realism #compression #generative modeling #outlier detection
URL RIS BibTex
H. Kim,
M. Bauer,
L. Theis,
J. R. Schwarz, and
E. Dupont
C3: High-performance and low-complexity neural compression from a single image or video
Computer Vision and Pattern Recognition, 2024
#compression
Code URL Project RIS BibTex
C3: High-performance and low-complexity neural compression from a single image or video
Computer Vision and Pattern Recognition, 2024
#compression
Code URL Project RIS BibTex
E. Hoogeboom,
E. Agustsson,
F. Mentzer,
L. Versari,
G. Toderici, and
L. Theis
High-Fidelity Image Compression with Score-based Generative Models
arXiv:2305.18231, 2023
#compression #diffusion #rectified flow
URL Files RIS BibTex
High-Fidelity Image Compression with Score-based Generative Models
arXiv:2305.18231, 2023
#compression #diffusion #rectified flow
URL Files RIS BibTex
G. Flamich and
L. Theis
Adaptive Greedy Rejection Sampling
IEEE International Symposium on Information Theory, 2023
#channel simulation #compression #information theory
URL PDF RIS BibTex
Adaptive Greedy Rejection Sampling
IEEE International Symposium on Information Theory, 2023
#channel simulation #compression #information theory
URL PDF RIS BibTex
Y. Yang,
S. Mandt, and
L. Theis
An Introduction to Neural Data Compression
Foundations and Trends in Computer Graphics and Vision, 15(2), 113-200, 2023
#compression
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An Introduction to Neural Data Compression
Foundations and Trends in Computer Graphics and Vision, 15(2), 113-200, 2023
#compression
URL PDF RIS BibTex
L. Theis,
T. Salimans,
M. D. Hoffman, and
F. Mentzer
Lossy Compression with Gaussian Diffusion
arXiv:2206.08889, 2022
#compression #diffusion #channel simulation
URL RIS BibTex
Lossy Compression with Gaussian Diffusion
arXiv:2206.08889, 2022
#compression #diffusion #channel simulation
URL RIS BibTex
A. Shah,
W.-N. Chen,
J. Balle,
P. Kairouz, and
L. Theis
Optimal Compression of Locally Differentially Private Mechanisms
Artificial Intelligence and Statistics, 2022
#differential privacy #compression #channel simulation
Code URL RIS BibTex
Optimal Compression of Locally Differentially Private Mechanisms
Artificial Intelligence and Statistics, 2022
#differential privacy #compression #channel simulation
Code URL RIS BibTex
L. Theis and
N. Yosri
Algorithms for the Communication of Samples
Proceedings of the 39th International Conference on Machine Learning, 2022
#compression #information theory #channel simulation
Code URL PDF RIS BibTex
Algorithms for the Communication of Samples
Proceedings of the 39th International Conference on Machine Learning, 2022
#compression #information theory #channel simulation
Code URL PDF RIS BibTex
L. Theis and
J. Ho
Importance weighted compression
Neural Compression Workshop at ICLR, 2021
#compression #deep learning #bits back
URL RIS BibTex
Importance weighted compression
Neural Compression Workshop at ICLR, 2021
#compression #deep learning #bits back
URL RIS BibTex
L. Theis and
A. B. Wagner
A coding theorem for the rate-distortion-perception function
Neural Compression Workshop at ICLR, 2021
#compression #information theory #perceptual quality
URL RIS BibTex
A coding theorem for the rate-distortion-perception function
Neural Compression Workshop at ICLR, 2021
#compression #information theory #perceptual quality
URL RIS BibTex
L. Theis and
E. Agustsson
On the advantages of stochastic encoders
Neural Compression Workshop at ICLR, 2021
#compression #information theory
URL RIS BibTex
On the advantages of stochastic encoders
Neural Compression Workshop at ICLR, 2021
#compression #information theory
URL RIS BibTex
E. Agustsson and
L. Theis
Universally Quantized Neural Compression
Advances in Neural Information Processing Systems 33, 2020
#compression #deep learning #channel simulation
URL PDF Appendix RIS BibTex
Universally Quantized Neural Compression
Advances in Neural Information Processing Systems 33, 2020
#compression #deep learning #channel simulation
URL PDF Appendix RIS BibTex
K. Storrs,
S. V. Leuven,
S. Kojder,
L. Theis, and
F. Huszár
Adaptive Paired-Comparison Method for Subjective Video Quality Assessment on Mobile Devices
Picture Coding Symposium, 2018
#compression #perceptual quality #psychophysics
URL Blog RIS BibTex
Adaptive Paired-Comparison Method for Subjective Video Quality Assessment on Mobile Devices
Picture Coding Symposium, 2018
#compression #perceptual quality #psychophysics
URL Blog RIS BibTex
L. Theis,
W. Shi,
A. Cunningham, and
F. Huszár
Lossy Image Compression with Compressive Autoencoders
International Conference on Learning Representations, 2017
#compression #deep learning
URL PDF Poster Files RIS BibTex
Lossy Image Compression with Compressive Autoencoders
International Conference on Learning Representations, 2017
#compression #deep learning
URL PDF Poster Files RIS BibTex