rate distortion

Neural Rate Estimator and Unsupervised Learning for Efficient Distributed Image Analytics in Split-DNN Models CVPR 2023 On the choice of Perception Loss Function for Learned Video Compression NeurIPS 2023 Real-Time 6K Image Rescaling With Rate-Distortion Optimization CVPR 2023 Trading Information between Latents in Hierarchical Variational Autoencoders ICLR 2023 The Devil Is in the Details: Window-Based Attention for Image Compression CVPR 2022 Checkerboard Context Model for Efficient Learned Image Compression CVPR 2021 Deciding What to Learn: A Rate-Distortion Approach ICML 2021 How To Exploit the Transferability of Learned Image Compression to Conventional Codecs CVPR 2021 Learned Bi-Resolution Image Coding using Generalized Octave Convolutions AAAI 2021 Online-Trained Upsampler for Deep Low Complexity Video Compression ICCV 2021 Rate-Regularization and Generalization in Variational Autoencoders AISTATS 2021 Channel-Level Variable Quantization Network for Deep Image Compression IJCAI 2020 Evaluating Lossy Compression Rates of Deep Generative Models ICML 2020 Information-Theoretic Understanding of Population Risk Improvement with Model Compression AAAI 2020 Exact Rate-Distortion in Autoencoders via Echo Noise NeurIPS 2019 Rate Distortion For Model Compression:From Theory To Practice ICML 2019 Conditional Probability Models for Deep Image Compression CVPR 2018 Joint Autoregressive and Hierarchical Priors for Learned Image Compression NeurIPS 2018 Full Resolution Image Compression With Recurrent Neural Networks CVPR 2017 Fully Decentralized Policies for Multi-Agent Systems: An Information Theoretic Approach NeurIPS 2017 Fundamental Limits of Budget-Fidelity Trade-off in Label Crowdsourcing NeurIPS 2016 A Rate Distortion Approach for Semi-Supervised Conditional Random Fields NeurIPS 2009