{"total":182,"rows":[{"id":"2203.10886","title":"ELIC: Efficient Learned Image Compression with Unevenly Grouped Space-Channel Contextual Adaptive Coding","created":"2022-03-21","cited_by_count":301,"area":null},{"id":"2303.14978","title":"Learned Image Compression with Mixed Transformer-CNN Architectures","created":"2023-03-27","cited_by_count":211,"area":null},{"id":"2403.14530","title":"HAC: Hash-grid Assisted Context for 3D Gaussian Splatting Compression","created":"2024-03-21","cited_by_count":209,"area":null},{"id":"2302.14402","title":"Neural Video Compression with Diverse Contexts","created":"2023-02-28","cited_by_count":165,"area":null},{"id":"2203.08450","title":"The Devil Is in the Details: Window-based Attention for Image Compression","created":"2022-03-16","cited_by_count":147,"area":null},{"id":"2207.05894","title":"Hybrid Spatial-Temporal Entropy Modelling for Neural Video Compression","created":"2022-07-13","cited_by_count":128,"area":null},{"id":"2202.05492","title":"Entroformer: A Transformer-based Entropy Model for Learned Image Compression","created":"2022-02-11","cited_by_count":107,"area":null},{"id":"2211.07273","title":"MLIC: Multi-Reference Entropy Model for Learned Image Compression","created":"2022-11-14","cited_by_count":84,"area":null},{"id":"2212.13824","title":"Multi-Realism Image Compression with a Conditional Generator","created":"2022-12-28","cited_by_count":80,"area":null},{"id":"2307.15421","title":"MLIC++: Linear Complexity Multi-Reference Entropy Modeling for Learned Image Compression","created":"2023-07-28","cited_by_count":58,"area":null},{"id":"2501.12255","title":"HAC++: Towards 100X Compression of 3D Gaussian Splatting","created":"2025-01-21","cited_by_count":57,"area":null},{"id":"2312.02753","title":"C3: High-performance and low-complexity neural compression from a single image or video","created":"2023-12-05","cited_by_count":55,"area":null},{"id":"2112.04487","title":"Joint Global and Local Hierarchical Priors for Learned Image Compression","created":"2021-12-08","cited_by_count":54,"area":null},{"id":"2302.05071","title":"EVC: Towards Real-Time Neural Image Compression with Mask Decay","created":"2023-02-10","cited_by_count":49,"area":null},{"id":"2203.02452","title":"Contextformer: A Transformer with Spatio-Channel Attention for Context Modeling in Learned Image Compression","created":"2022-03-04","cited_by_count":45,"area":null},{"id":"2203.10897","title":"Unified Multivariate Gaussian Mixture for Efficient Neural Image Compression","created":"2022-03-21","cited_by_count":43,"area":null},{"id":"2109.03082","title":"Perceptual Learned Video Compression with Recurrent Conditional GAN","created":"2021-09-07","cited_by_count":41,"area":null},{"id":"2107.06463","title":"Learned Image Compression with Gaussian-Laplacian-Logistic Mixture Model and Concatenated Residual Modules","created":"2021-07-14","cited_by_count":35,"area":null},{"id":"2208.13056","title":"Lossy Image Compression with Quantized Hierarchical VAEs","created":"2022-08-27","cited_by_count":35,"area":null},{"id":"2212.07372","title":"Image Compression with Product Quantized Masked Image Modeling","created":"2022-12-14","cited_by_count":33,"area":null},{"id":"2302.08899","title":"QARV: Quantization-Aware ResNet VAE for Lossy Image Compression","created":"2023-02-16","cited_by_count":32,"area":null},{"id":"2411.18473","title":"HEMGS: A Hybrid Entropy Model for 3D Gaussian Splatting Data Compression","created":"2024-11-27","cited_by_count":31,"area":null},{"id":"2406.04101","title":"How Far Can We Compress Instant-NGP-Based NeRF?","created":"2024-06-06","cited_by_count":30,"area":null},{"id":"2409.07414","title":"NVRC: Neural Video Representation Compression","created":"2024-09-11","cited_by_count":29,"area":null},{"id":"2305.19185","title":"Compression with Bayesian Implicit Neural Representations","created":"2023-05-30","cited_by_count":25,"area":null},{"id":"2304.06244","title":"Computationally-Efficient Neural Image Compression with Shallow Decoders","created":"2023-04-13","cited_by_count":23,"area":null},{"id":"2401.15864","title":"Spatial Decomposition and Temporal Fusion based Inter Prediction for Learned Video Compression","created":"2024-01-29","cited_by_count":23,"area":null},{"id":"2512.20194","title":"Generative Latent Coding for Ultra-Low Bitrate Image Compression","created":"2025-12-23","cited_by_count":23,"area":null},{"id":"2203.09931","title":"3DAC: Learning Attribute Compression for Point Clouds","created":"2022-03-17","cited_by_count":22,"area":null},{"id":"2209.04847","title":"Deep Lossy Plus Residual Coding for Lossless and Near-lossless Image Compression","created":"2022-09-11","cited_by_count":22,"area":null},{"id":"2303.05715","title":"Context-Based Trit-Plane Coding for Progressive Image Compression","created":"2023-03-10","cited_by_count":21,"area":null},{"id":"2507.19125","title":"Learned Image Compression with Hierarchical Progressive Context Modeling","created":"2025-07-25","cited_by_count":21,"area":null},{"id":"2204.11448","title":"High-Efficiency Lossy Image Coding Through Adaptive Neighborhood Information Aggregation","created":"2022-04-25","cited_by_count":20,"area":null},{"id":"2209.09244","title":"Flexible Neural Image Compression via Code Editing","created":"2022-09-19","cited_by_count":20,"area":null},{"id":"2503.12461","title":"MambaIC: State Space Models for High-Performance Learned Image Compression","created":"2025-03-16","cited_by_count":20,"area":null},{"id":"2304.12319","title":"LVQAC: Lattice Vector Quantization Coupled with Spatially Adaptive Companding for Efficient Learned Image Compression","created":"2023-03-25","cited_by_count":19,"area":null},{"id":"2410.04847","title":"Causal Context Adjustment Loss for Learned Image Compression","created":"2024-10-07","cited_by_count":19,"area":null},{"id":"2302.12995","title":"Raw Image Reconstruction with Learned Compact Metadata","created":"2023-02-25","cited_by_count":18,"area":null},{"id":"2405.16817","title":"Controlling Rate, Distortion, and Realism: Towards a Single Comprehensive Neural Image Compression Model","created":"2024-05-27","cited_by_count":17,"area":null},{"id":"2502.16163","title":"Large Language Model for Lossless Image Compression with Visual Prompts","created":"2025-02-22","cited_by_count":16,"area":null},{"id":"2505.14541","title":"Neural Video Compression with Context Modulation","created":"2025-05-20","cited_by_count":16,"area":null},{"id":"2202.07513","title":"Post-Training Quantization for Cross-Platform Learned Image Compression","created":"2022-02-15","cited_by_count":14,"area":null},{"id":"2211.07004","title":"Advancing Learned Video Compression with In-loop Frame Prediction","created":"2022-11-13","cited_by_count":14,"area":null},{"id":"2304.07313","title":"M2T: Masking Transformers Twice for Faster Decoding","created":"2023-04-14","cited_by_count":14,"area":null},{"id":"2301.09799","title":"LDMIC: Learning-based Distributed Multi-view Image Coding","created":"2023-01-24","cited_by_count":13,"area":null},{"id":"2306.14287","title":"Efficient Contextformer: Spatio-Channel Window Attention for Fast Context Modeling in Learned Image Compression","created":"2023-06-25","cited_by_count":13,"area":null},{"id":"2306.16670","title":"End-to-End Learnable Multi-Scale Feature Compression for VCM","created":"2023-06-29","cited_by_count":13,"area":null},{"id":"2112.06417","title":"LC-FDNet: Learned Lossless Image Compression with Frequency Decomposition Network","created":"2021-12-13","cited_by_count":12,"area":null},{"id":"2308.12535","title":"SCP: Spherical-Coordinate-based Learned Point Cloud Compression","created":"2023-08-24","cited_by_count":12,"area":null},{"id":"2403.03736","title":"Unifying Generation and Compression: Ultra-low bitrate Image Coding Via Multi-stage Transformer","created":"2024-03-06","cited_by_count":12,"area":null},{"id":"2205.10195","title":"Unsupervised Flow-Aligned Sequence-to-Sequence Learning for Video Restoration","created":"2022-05-20","cited_by_count":11,"area":null},{"id":"2303.05744","title":"QVRF: A Quantization-error-aware Variable Rate Framework for Learned Image Compression","created":"2023-03-10","cited_by_count":11,"area":null},{"id":"2510.09987","title":"Generative Latent Video Compression","created":"2025-10-11","cited_by_count":11,"area":null},{"id":"2308.07733","title":"Dynamic Low-Rank Instance Adaptation for Universal Neural Image Compression","created":"2023-08-15","cited_by_count":10,"area":null},{"id":"2306.12058","title":"Beyond Learned Metadata-based Raw Image Reconstruction","created":"2023-06-21","cited_by_count":9,"area":null},{"id":"2211.10916","title":"ECM-OPCC: Efficient Context Model for Octree-based Point Cloud Compression","created":"2022-11-20","cited_by_count":8,"area":null},{"id":"2307.10284","title":"ECSIC: Epipolar Cross Attention for Stereo Image Compression","created":"2023-07-18","cited_by_count":8,"area":null},{"id":"2403.00628","title":"Region-Adaptive Transform with Segmentation Prior for Image Compression","created":"2024-03-01","cited_by_count":8,"area":null},{"id":"2407.10632","title":"Bidirectional Stereo Image Compression with Cross-Dimensional Entropy Model","created":"2024-07-15","cited_by_count":8,"area":null},{"id":"2411.16119","title":"Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression","created":"2024-11-25","cited_by_count":8,"area":null},{"id":"2411.19320","title":"Generalized Gaussian Model for Learned Image Compression","created":"2024-11-28","cited_by_count":8,"area":null},{"id":"2503.13948","title":"Light4GS: Lightweight Compact 4D Gaussian Splatting Generation via Context Model","created":"2025-03-18","cited_by_count":8,"area":null},{"id":"2503.18541","title":"UniPCGC: Towards Practical Point Cloud Geometry Compression via an Efficient Unified Approach","created":"2025-03-24","cited_by_count":8,"area":null},{"id":"2406.06165","title":"Generalized Nested Latent Variable Models for Lossy Coding applied to Wind Turbine Scenarios","created":"2024-06-10","cited_by_count":7,"area":null},{"id":"2504.16953","title":"TVC: Tokenized Video Compression with Ultra-Low Bit Rate","created":"2025-04-22","cited_by_count":7,"area":null},{"id":"2512.12229","title":"Ultra-Low Bitrate Perceptual Image Compression with Shallow Encoder","created":"2025-12-13","cited_by_count":7,"area":null},{"id":"2112.13227","title":"Pseudocylindrical Convolutions for Learned Omnidirectional Image Compression","created":"2021-12-25","cited_by_count":6,"area":null},{"id":"2212.00459","title":"Disparity-based Stereo Image Compression with Aligned Cross-View Priors","created":"2022-12-01","cited_by_count":6,"area":null},{"id":"2304.09571","title":"LLIC: Large Receptive Field Transform Coding with Adaptive Weights for Learned Image Compression","created":"2023-04-19","cited_by_count":6,"area":null},{"id":"2401.11615","title":"Another Way to the Top: Exploit Contextual Clustering in Learned Image Coding","created":"2024-01-21","cited_by_count":6,"area":null},{"id":"2405.01170","title":"GroupedMixer: An Entropy Model with Group-wise Token-Mixers for Learned Image Compression","created":"2024-05-02","cited_by_count":6,"area":null},{"id":"2509.13482","title":"Improving 3D Gaussian Splatting Compression by Scene-Adaptive Lattice Vector Quantization","created":"2025-09-16","cited_by_count":6,"area":null},{"id":"2209.13834","title":"Multi-Sample Training for Neural Image Compression","created":"2022-09-28","cited_by_count":5,"area":null},{"id":"2302.09263","title":"Multistage Spatial Context Models for Learned Image Compression","created":"2023-02-18","cited_by_count":5,"area":null},{"id":"2309.11661","title":"Neural Image Compression Using Masked Sparse Visual Representation","created":"2023-09-20","cited_by_count":5,"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":"2410.17814","title":"Learning Lossless Compression for High Bit-Depth Volumetric Medical Image","created":"2024-10-23","cited_by_count":5,"area":null},{"id":"2502.20161","title":"Balanced Rate-Distortion Optimization in Learned Image Compression","created":"2025-02-27","cited_by_count":5,"area":null},{"id":"2512.04019","title":"Ultra-lightweight Neural Video Representation Compression","created":"2025-12-03","cited_by_count":5,"area":null},{"id":"2111.14474","title":"Learning-Based Video Coding with Joint Deep Compression and Enhancement","created":"2021-11-29","cited_by_count":4,"area":null},{"id":"2203.16357","title":"Practical Learned Lossless JPEG Recompression with Multi-Level Cross-Channel Entropy Model in the DCT Domain","created":"2022-03-30","cited_by_count":4,"area":null},{"id":"2303.00587","title":"Comprehensive Comparisons of Uniform Quantization in Deep Image Compression","created":"2023-03-01","cited_by_count":4,"area":null},{"id":"2307.08657","title":"Neural Image Compression: Generalization, Robustness, and Spectral Biases","created":"2023-07-17","cited_by_count":4,"area":null},{"id":"2403.13030","title":"Super-High-Fidelity Image Compression via Hierarchical-ROI and Adaptive Quantization","created":"2024-03-19","cited_by_count":4,"area":null},{"id":"2410.00557","title":"STanH : Parametric Quantization for Variable Rate Learned Image Compression","created":"2024-10-01","cited_by_count":4,"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":"2412.00437","title":"DeepFGS: Fine-Grained Scalable Coding for Learned Image Compression","created":"2024-11-30","cited_by_count":4,"area":null},{"id":"2501.04579","title":"Unified Coding for Both Human Perception and Generalized Machine Analytics with CLIP Supervision","created":"2025-01-08","cited_by_count":4,"area":null},{"id":"2501.18328","title":"Virtual Full-stack Scanning of Brain MRI via Imputing Any Quantised Code","created":"2025-01-30","cited_by_count":4,"area":null},{"id":"2503.21284","title":"Multi-Scale Invertible Neural Network for Wide-Range Variable-Rate Learned Image Compression","created":"2025-03-27","cited_by_count":4,"area":null},{"id":"2511.22549","title":"Diff-ICMH: Harmonizing Machine and Human Vision in Image Compression with Generative Prior","created":"2025-11-27","cited_by_count":4,"area":null},{"id":"2111.08256","title":"Online Meta Adaptation for Variable-Rate Learned Image Compression","created":"2021-11-16","cited_by_count":3,"area":null},{"id":"2305.15030","title":"Make Lossy Compression Meaningful for Low-Light Images","created":"2023-05-24","cited_by_count":3,"area":null},{"id":"2309.07926","title":"COMPASS: High-Efficiency Deep Image Compression with Arbitrary-scale Spatial Scalability","created":"2023-09-11","cited_by_count":3,"area":null},{"id":"2410.07669","title":"Delta-ICM: Entropy Modeling with Delta Function for Learned Image Compression","created":"2024-10-10","cited_by_count":3,"area":null},{"id":"2411.05832","title":"Diversify, Contextualize, and Adapt: Efficient Entropy Modeling for Neural Image Codec","created":"2024-11-06","cited_by_count":3,"area":null},{"id":"2411.10773","title":"An End-to-End Real-World Camera Imaging Pipeline","created":"2024-11-16","cited_by_count":3,"area":null},{"id":"2502.03649","title":"All-in-One Image Compression and Restoration","created":"2025-02-05","cited_by_count":3,"area":null},{"id":"2508.01852","title":"Context Guided Transformer Entropy Modeling for Video Compression","created":"2025-08-03","cited_by_count":3,"area":null},{"id":"2605.05148","title":"What Matters in Practical Learned Image Compression","created":"2026-05-06","cited_by_count":3,"area":null}],"next_cursor":"100"}