rate-distortion optimization

COMPASS: High-Efficiency Deep Image Compression with Arbitrary-scale Spatial Scalability ICCV 2023 Complexity-Guided Slimmable Decoder for Efficient Deep Video Compression CVPR 2023 Compression with Bayesian Implicit Neural Representations NeurIPS 2023 Computationally-Efficient Neural Image Compression with Shallow Decoders ICCV 2023 Context-Based Trit-Plane Coding for Progressive Image Compression CVPR 2023 Idempotent Learned Image Compression with Right-Inverse NeurIPS 2023 Learned Image Compression With Mixed Transformer-CNN Architectures CVPR 2023 NVTC: Nonlinear Vector Transform Coding CVPR 2023 Real-Time 6K Image Rescaling With Rate-Distortion Optimization CVPR 2023 Universal Deep Image Compression via Content-Adaptive Optimization With Adapters WACV 2023 Video Compression With Entropy-Constrained Neural Representations CVPR 2023 Flexible Neural Image Compression via Code Editing NeurIPS 2022 Joint Global and Local Hierarchical Priors for Learned Image Compression CVPR 2022 Neural Data-Dependent Transform for Learned Image Compression CVPR 2022 Towards End-to-End Image Compression and Analysis with Transformers AAAI 2022 Transformer-based Transform Coding ICLR 2022 Two-Stage Octave Residual Network for End-to-End Image Compression AAAI 2022 Checkerboard Context Model for Efficient Learned Image Compression CVPR 2021 ELF-VC: Efficient Learned Flexible-Rate Video Coding ICCV 2021 Hierarchical Autoregressive Modeling for Neural Video Compression ICLR 2021 Learned Bi-Resolution Image Coding using Generalized Octave Convolutions AAAI 2021 Learning Accurate Entropy Model with Global Reference for Image Compression ICLR 2021 On Perceptual Lossy Compression: The Cost of Perceptual Reconstruction and An Optimal Training Framework ICML 2021 Slimmable Compressive Autoencoders for Practical Neural Image Compression CVPR 2021 Soft then Hard: Rethinking the Quantization in Neural Image Compression ICML 2021