{"total":23,"rows":[{"id":"2303.05715","title":"Context-Based Trit-Plane Coding for Progressive Image Compression","created":"2023-03-10","cited_by_count":21,"area":null},{"id":"2406.00758","title":"Once-for-All: Controllable Generative Image Compression with Dynamic Granularity Adaptation","created":"2024-06-02","cited_by_count":16,"area":null},{"id":"2305.02145","title":"ProgDTD: Progressive Learned Image Compression with Double-Tail-Drop Training","created":"2023-05-03","cited_by_count":13,"area":null},{"id":"2509.16989","title":"PTQTP: Post-Training Quantization to Trit-Planes for Large Language Models","created":"2025-09-21","cited_by_count":9,"area":null},{"id":"2304.01064","title":"Real-time 6K Image Rescaling with Rate-distortion Optimization","created":"2023-04-03","cited_by_count":6,"area":null},{"id":"2306.08941","title":"Exploring Resolution Fields for Scalable Image Compression with Uncertainty Guidance","created":"2023-06-15","cited_by_count":6,"area":null},{"id":"2408.12150","title":"DeepHQ: Learned Hierarchical Quantizer for Progressive Deep Image Coding","created":"2024-08-22","cited_by_count":5,"area":null},{"id":"2411.10185","title":"Efficient Progressive Image Compression with Variance-aware Masking","created":"2024-11-15","cited_by_count":4,"area":null},{"id":"2501.02521","title":"Remote Inference over Dynamic Links via Adaptive Rate Deep Task-Oriented Vector Quantization","created":"2025-01-05","cited_by_count":3,"area":null},{"id":"2603.02897","title":"ProGIC: Progressive and Lightweight Generative Image Compression with Residual Vector Quantization","created":"2026-03-03","cited_by_count":3,"area":null},{"id":"2203.13467","title":"RD-Optimized Trit-Plane Coding of Deep Compressed Image Latent Tensors","created":"2022-03-25","cited_by_count":2,"area":null},{"id":"2502.06181","title":"CANeRV: Content Adaptive Neural Representation for Video Compression","created":"2025-02-10","cited_by_count":2,"area":null},{"id":"2408.00599","title":"Learned Compression of Point Cloud Geometry and Attributes in a Single Model through Multimodal Rate-Control","created":"2024-08-01","cited_by_count":1,"area":null},{"id":"2504.13736","title":"LimitNet: Progressive, Content-Aware Image Offloading for Extremely Weak Devices & Networks","created":"2025-04-18","cited_by_count":1,"area":null},{"id":"2510.11234","title":"Neural Weight Compression for Language Models","created":"2025-10-13","cited_by_count":1,"area":null},{"id":"2512.20070","title":"Progressive Learned Image Compression for Machine Perception","created":"2025-12-23","cited_by_count":1,"area":null},{"id":"2508.02051","title":"HCF: Hierarchical Cascade Framework for Distributed Multi-Stage Image Compression","created":"2025-08-04","cited_by_count":0,"area":null},{"id":"2510.17068","title":"ProDAT: Progressive Density-Aware Tail-Drop for Point Cloud Coding","created":"2025-10-20","cited_by_count":0,"area":null},{"id":"2603.09703","title":"ProGS: Towards Progressive Coding for 3D Gaussian Splatting","created":"2026-03-10","cited_by_count":0,"area":null},{"id":"2605.08266","title":"Coarse-to-Fine: Progressive Image Compression for Semantically Hierarchical Classification","created":"2026-05-08","cited_by_count":0,"area":null},{"id":"2608.00687","title":"Proteus: A Truncation-Robust Entropy Model for Progressive LiDAR Compression","created":"2026-08-01","cited_by_count":0,"area":null},{"id":"2608.11096","title":"Every Packet Counts: Dispersing Information for Loss-Resilient Learned Image Compression","created":"2026-08-11","cited_by_count":0,"area":null},{"id":"2609.03641","title":"Tree-VQ: Progressive Image Compression from Pretrained Vector Quantizers","created":"2026-09-03","cited_by_count":0,"area":null}],"next_cursor":null}