Joint Autoregressive and Hierarchical Priors for Learned Image
  Compression

Joint Autoregressive and Hierarchical Priors for Learned Image Compression

Papers citing "Joint Autoregressive and Hierarchical Priors for Learned Image Compression"

50 / 600 papers shown
Thousand to One: Semantic Prior Modeling for Conceptual Coding
Thousand to One: Semantic Prior Modeling for Conceptual CodingIEEE International Conference on Multimedia and Expo (ICME), 2021
191
23
0
12 Mar 2021
COIN: COmpression with Implicit Neural representations
COIN: COmpression with Implicit Neural representationsInternational Conference on Learning Representations (ICLR), 2021
347
278
0
03 Mar 2021
Overfitting for Fun and Profit: Instance-Adaptive Data Compression
Overfitting for Fun and Profit: Instance-Adaptive Data CompressionInternational Conference on Learning Representations (ICLR), 2021
253
54
0
21 Jan 2021
CVEGAN: A Perceptually-inspired GAN for Compressed Video Enhancement
CVEGAN: A Perceptually-inspired GAN for Compressed Video EnhancementSignal processing. Image communication (SPIC), 2020
Di Ma
Fan Zhang
David R. Bull
265
24
0
18 Nov 2020
MuSCLE: Multi Sweep Compression of LiDAR using Deep Entropy Models
MuSCLE: Multi Sweep Compression of LiDAR using Deep Entropy ModelsNeural Information Processing Systems (NeurIPS), 2020
138
96
0
15 Nov 2020
Hierarchical Autoregressive Modeling for Neural Video Compression
Hierarchical Autoregressive Modeling for Neural Video CompressionInternational Conference on Learning Representations (ICLR), 2020
472
47
0
19 Oct 2020
Compressing Images by Encoding Their Latent Representations with
  Relative Entropy Coding
Compressing Images by Encoding Their Latent Representations with Relative Entropy CodingNeural Information Processing Systems (NeurIPS), 2020
Gergely Flamich
Marton Havasi
José Miguel Hernández-Lobato
676
70
0
02 Oct 2020
Bandwidth-Agile Image Transmission with Deep Joint Source-Channel Coding
Bandwidth-Agile Image Transmission with Deep Joint Source-Channel CodingIEEE Transactions on Wireless Communications (TWC), 2020
David Burth Kurka
Deniz Gündüz
170
155
0
26 Sep 2020
End-to-End Rate-Distortion Optimization for Bi-Directional Learned Video
  Compression
End-to-End Rate-Distortion Optimization for Bi-Directional Learned Video CompressionInternational Conference on Information Photonics (ICIP), 2020
168
16
0
11 Aug 2020
Optical Flow and Mode Selection for Learning-based Video Coding
Optical Flow and Mode Selection for Learning-based Video CodingIEEE International Workshop on Multimedia Signal Processing (MMSP), 2020
132
46
0
06 Aug 2020
Channel-wise Autoregressive Entropy Models for Learned Image Compression
Channel-wise Autoregressive Entropy Models for Learned Image CompressionInternational Conference on Information Photonics (ICIP), 2020
218
493
0
17 Jul 2020
Channel-Level Variable Quantization Network for Deep Image Compression
Channel-Level Variable Quantization Network for Deep Image CompressionInternational Joint Conference on Artificial Intelligence (IJCAI), 2020
86
20
0
15 Jul 2020
Learning for Video Compression with Recurrent Auto-Encoder and Recurrent
  Probability Model
Learning for Video Compression with Recurrent Auto-Encoder and Recurrent Probability ModelIEEE Journal on Selected Topics in Signal Processing (JSTSP), 2020
Ren Yang
Fabian Mentzer
Luc Van Gool
Radu Timofte
339
158
0
24 Jun 2020