image compression

Fast Lossless Neural Compression with Integer-Only Discrete Flows ICML 2022 Joint Global and Local Hierarchical Priors for Learned Image Compression CVPR 2022 Learning Based Multi-Modality Image and Video Compression CVPR 2022 Learning From the CNN-Based Compressed Domain WACV 2022 Lossless Compression with Probabilistic Circuits ICLR 2022 Neural Data-Dependent Transform for Learned Image Compression CVPR 2022 On Aliased Resizing and Surprising Subtleties in GAN Evaluation CVPR 2022 OoDHDR-Codec: Out-of-Distribution Generalization for HDR Image Compression AAAI 2022 PILC: Practical Image Lossless Compression With an End-to-End GPU Oriented Neural Framework CVPR 2022 Practical Learned Lossless JPEG Recompression With Multi-Level Cross-Channel Entropy Model in the DCT Domain CVPR 2022 Robust Invertible Image Steganography CVPR 2022 Selective compression learning of latent representations for variable-rate image compression NeurIPS 2022 Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations NeurIPS 2022 Split Hierarchical Variational Compression CVPR 2022 Supervised Compression for Resource-Constrained Edge Computing Systems WACV 2022 The Devil Is in the Details: Window-Based Attention for Image Compression CVPR 2022 Towards Empirical Sandwich Bounds on the Rate-Distortion Function ICLR 2022 Towards End-to-End Image Compression and Analysis with Transformers AAAI 2022 Two-Stage Octave Residual Network for End-to-End Image Compression AAAI 2022 Attention-Guided Image Compression by Deep Reconstruction of Compressive Sensed Saliency Skeleton CVPR 2021 Blur, Noise, and Compression Robust Generative Adversarial Networks CVPR 2021 Checkerboard Context Model for Efficient Learned Image Compression CVPR 2021 Deep Homography for Efficient Stereo Image Compression CVPR 2021 Generating images with sparse representations ICML 2021 How To Exploit the Transferability of Learned Image Compression to Conventional Codecs CVPR 2021