learned image compression

Adaptive Learned Image Compression with Graph Neural Networks CVPR 2026 Block-based Learned Image Compression without Blocking Artifacts CVPR 2026 DynaQuant: Dynamic Mixed-Precision Quantization for Learned Image Compression AAAI 2026 Rethinking Latent Variable in Learned Image Compression WACV 2026 What Matters in Practical Learned Image Compression CVPR 2026 Balanced Rate-Distortion Optimization in Learned Image Compression CVPR 2025 Cassic: Towards Content-Adaptive State-Space Models for Learned Image Compression ICCV 2025 Cross-Granularity Online Optimization with Masked Compensated Information for Learned Image Compression ICCV 2025 Few-Shot Domain Adaptation for Learned Image Compression AAAI 2025 GLIC: General Format Learned Image Compression AAAI 2025 Knowledge Distillation for Learned Image Compression ICCV 2025 Linear Attention Modeling for Learned Image Compression CVPR 2025 On Disentangled Training for Nonlinear Transform in Learned Image Compression ICLR 2025 Privacy-Shielded Image Compression: Defending Against Exploitation from Vision-Language Pretrained Models ICML 2025 Towards Loss-Resilient Image Coding for Unstable Satellite Networks AAAI 2025 Another Way to the Top: Exploit Contextual Clustering in Learned Image Coding AAAI 2024 Causal Context Adjustment Loss for Learned Image Compression NeurIPS 2024 Frequency-Aware Transformer for Learned Image Compression ICLR 2024 Idempotent Learned Image Compression with Right-Inverse NeurIPS 2023 Learned Image Compression With Mixed Transformer-CNN Architectures CVPR 2023 Multi-Modality Deep Network for Extreme Learned Image Compression AAAI 2023 Towards Efficient Image Compression Without Autoregressive Models NeurIPS 2023 ELIC: Efficient Learned Image Compression With Unevenly Grouped Space-Channel Contextual Adaptive Coding CVPR 2022 Entroformer: A Transformer-based Entropy Model for Learned Image Compression ICLR 2022 Joint Global and Local Hierarchical Priors for Learned Image Compression CVPR 2022