{"total":91,"rows":[{"id":"2109.15047","title":"Deep Contextual Video Compression","created":"2021-09-30","cited_by_count":221,"area":null},{"id":"2207.09353","title":"Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications","created":"2022-07-19","cited_by_count":175,"area":null},{"id":"2112.04267","title":"Implicit Neural Representations for Image Compression","created":"2021-12-08","cited_by_count":162,"area":null},{"id":"2305.10874","title":"Swap Attention in Spatiotemporal Diffusions for Text-to-Video Generation","created":"2023-05-18","cited_by_count":154,"area":null},{"id":"2105.09600","title":"FVC: A New Framework towards Deep Video Compression in Feature Space","created":"2021-05-20","cited_by_count":153,"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":"2111.13850","title":"Temporal Context Mining for Learned Video Compression","created":"2021-11-27","cited_by_count":117,"area":null},{"id":"2304.02633","title":"HNeRV: A Hybrid Neural Representation for Videos","created":"2023-04-05","cited_by_count":100,"area":null},{"id":"2202.06533","title":"An Introduction to Neural Data Compression","created":"2022-02-14","cited_by_count":79,"area":null},{"id":"2206.07307","title":"VCT: A Video Compression Transformer","created":"2022-06-15","cited_by_count":74,"area":null},{"id":"2104.14335","title":"ELF-VC: Efficient Learned Flexible-Rate Video Coding","created":"2021-04-29","cited_by_count":69,"area":null},{"id":"2112.11312","title":"Implicit Neural Video Compression","created":"2021-12-21","cited_by_count":52,"area":null},{"id":"2111.13034","title":"DeepWiVe: Deep-Learning-Aided Wireless Video Transmission","created":"2021-11-25","cited_by_count":45,"area":null},{"id":"2101.08687","title":"Overfitting for Fun and Profit: Instance-Adaptive Data Compression","created":"2021-01-21","cited_by_count":38,"area":null},{"id":"2107.12038","title":"Neural Video Compression using GANs for Detail Synthesis and Propagation","created":"2021-07-26","cited_by_count":36,"area":null},{"id":"2102.11026","title":"High-order Differentiable Autoencoder for Nonlinear Model Reduction","created":"2021-02-19","cited_by_count":32,"area":null},{"id":"2309.15848","title":"SHACIRA: Scalable HAsh-grid Compression for Implicit Neural Representations","created":"2023-09-27","cited_by_count":31,"area":null},{"id":"2104.00531","title":"Extending Neural P-frame Codecs for B-frame Coding","created":"2021-03-30","cited_by_count":30,"area":null},{"id":"2207.14678","title":"AlphaVC: High-Performance and Efficient Learned Video Compression","created":"2022-07-29","cited_by_count":28,"area":null},{"id":"2104.02322","title":"Efficient Video Compression via Content-Adaptive Super-Resolution","created":"2021-04-06","cited_by_count":26,"area":null},{"id":"2102.02913","title":"Progressive Neural Image Compression with Nested Quantization and Latent Ordering","created":"2021-02-04","cited_by_count":24,"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":"2301.09479","title":"Modality-Agnostic Variational Compression of Implicit Neural Representations","created":"2023-01-23","cited_by_count":22,"area":null},{"id":"2211.10421","title":"CNeRV: Content-adaptive Neural Representation for Visual Data","created":"2022-11-18","cited_by_count":21,"area":null},{"id":"2408.08604","title":"Bi-Directional Deep Contextual Video Compression","created":"2024-08-16","cited_by_count":20,"area":null},{"id":"2207.08338","title":"MobileCodec: Neural Inter-frame Video Compression on Mobile Devices","created":"2022-07-18","cited_by_count":19,"area":null},{"id":"2111.10302","title":"Instance-Adaptive Video Compression: Improving Neural Codecs by Training on the Test Set","created":"2021-11-19","cited_by_count":18,"area":null},{"id":"2211.16421","title":"RGB no more: Minimally-decoded JPEG Vision Transformers","created":"2022-11-29","cited_by_count":18,"area":null},{"id":"2505.14541","title":"Neural Video Compression with Context Modulation","created":"2025-05-20","cited_by_count":16,"area":null},{"id":"2203.08875","title":"SC2 Benchmark: Supervised Compression for Split Computing","created":"2022-03-16","cited_by_count":15,"area":null},{"id":"2107.05548","title":"Multi-modality Deep Restoration of Extremely Compressed Face Videos","created":"2021-07-05","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":"2108.04103","title":"End-to-end Neural Video Coding Using a Compound Spatiotemporal Representation","created":"2021-08-05","cited_by_count":13,"area":null},{"id":"2112.13309","title":"Learning Cross-Scale Weighted Prediction for Efficient Neural Video Compression","created":"2021-12-26","cited_by_count":13,"area":null},{"id":"2306.10681","title":"VNVC: A Versatile Neural Video Coding Framework for Efficient Human-Machine Vision","created":"2023-06-19","cited_by_count":13,"area":null},{"id":"2310.01258","title":"MobileNVC: Real-time 1080p Neural Video Compression on a Mobile Device","created":"2023-10-02","cited_by_count":13,"area":null},{"id":"2402.02140","title":"Generative Visual Compression: A Review","created":"2024-02-03","cited_by_count":13,"area":null},{"id":"2405.04274","title":"Group-aware Parameter-efficient Updating for Content-Adaptive Neural Video Compression","created":"2024-05-07","cited_by_count":12,"area":null},{"id":"2203.15401","title":"Neural Face Video Compression using Multiple Views","created":"2022-03-29","cited_by_count":11,"area":null},{"id":"2409.19429","title":"Fast Encoding and Decoding for Implicit Video Representation","created":"2024-09-28","cited_by_count":11,"area":null},{"id":"2203.09940","title":"Alleviating Adversarial Attacks on Variational Autoencoders with MCMC","created":"2022-03-18","cited_by_count":10,"area":null},{"id":"2107.13136","title":"Insights from Generative Modeling for Neural Video Compression","created":"2021-07-28","cited_by_count":9,"area":null},{"id":"2304.02273","title":"MMVC: Learned Multi-Mode Video Compression with Block-based Prediction Mode Selection and Density-Adaptive Entropy Coding","created":"2023-04-05","cited_by_count":9,"area":null},{"id":"2207.04589","title":"Learned Video Compression via Heterogeneous Deformable Compensation Network","created":"2022-07-11","cited_by_count":8,"area":null},{"id":"2111.03386","title":"Versatile Learned Video Compression","created":"2021-11-05","cited_by_count":7,"area":null},{"id":"2201.10162","title":"Semantically Video Coding: Instill Static-Dynamic Clues into Structured Bitstream for AI Tasks","created":"2022-01-25","cited_by_count":7,"area":null},{"id":"2204.12534","title":"AccMPEG: Optimizing Video Encoding for Video Analytics","created":"2022-04-26","cited_by_count":7,"area":null},{"id":"2303.08331","title":"Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting","created":"2023-03-15","cited_by_count":7,"area":null},{"id":"2509.04118","title":"EHVC: Efficient Hierarchical Reference and Quality Structure for Neural Video Coding","created":"2025-09-04","cited_by_count":7,"area":null},{"id":"2303.04557","title":"Scene Matters: Model-based Deep Video Compression","created":"2023-03-08","cited_by_count":6,"area":null},{"id":"2606.04410","title":"Ultra-Fast Neural Video Compression","created":"2026-06-03","cited_by_count":6,"area":null},{"id":"2111.03201","title":"Compressing Sensor Data for Remote Assistance of Autonomous Vehicles using Deep Generative Models","created":"2021-11-05","cited_by_count":5,"area":null},{"id":"2208.04303","title":"Boosting neural video codecs by exploiting hierarchical redundancy","created":"2022-08-08","cited_by_count":5,"area":null},{"id":"2403.19158","title":"Uncertainty-Aware Deep Video Compression with Ensembles","created":"2024-03-28","cited_by_count":5,"area":null},{"id":"2406.14118","title":"Prediction and Reference Quality Adaptation for Learned Video Compression","created":"2024-06-20","cited_by_count":5,"area":null},{"id":"2501.04329","title":"An Efficient Adaptive Compression Method for Human Perception and Machine Vision Tasks","created":"2025-01-08","cited_by_count":5,"area":null},{"id":"2503.13992","title":"The KoLMogorov Test: Compression by Code Generation","created":"2025-03-18","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":"2104.06083","title":"Spatiotemporal Entropy Model is All You Need for Learned Video Compression","created":"2021-04-13","cited_by_count":4,"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":"2308.00725","title":"Latent-Shift: Gradient of Entropy Helps Neural Codecs","created":"2023-08-01","cited_by_count":3,"area":null},{"id":"2407.19402","title":"NVC-1B: A Large Neural Video Coding Model","created":"2024-07-28","cited_by_count":3,"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":"2508.01852","title":"Context Guided Transformer Entropy Modeling for Video Compression","created":"2025-08-03","cited_by_count":3,"area":null},{"id":"2606.28163","title":"Enhanced Neural Video Representation Compression Across Extreme Complexity and Quality Scales","created":"2026-06-26","cited_by_count":3,"area":null},{"id":"2108.13055","title":"Efficient Visual Recognition with Deep Neural Networks: A Survey on Recent Advances and New Directions","created":"2021-08-30","cited_by_count":2,"area":null},{"id":"2203.01978","title":"Region-of-Interest Based Neural Video Compression","created":"2022-03-03","cited_by_count":2,"area":null},{"id":"2210.04898","title":"Improving The Reconstruction Quality by Overfitted Decoder Bias in Neural Image Compression","created":"2022-10-10","cited_by_count":2,"area":null},{"id":"2305.08514","title":"Generative Adversarial Networks for Spatio-Spectral Compression of Hyperspectral Images","created":"2023-05-15","cited_by_count":2,"area":null},{"id":"2401.17789","title":"Robustly overfitting latents for flexible neural image compression","created":"2024-01-31","cited_by_count":2,"area":null},{"id":"2403.17879","title":"Low-Latency Neural Stereo Streaming","created":"2024-03-26","cited_by_count":2,"area":null},{"id":"2405.14221","title":"Survey on Visual Signal Coding and Processing with Generative Models: Technologies, Standards and Optimization","created":"2024-05-23","cited_by_count":2,"area":null},{"id":"2407.00021","title":"Neural Graphics Texture Compression Supporting Random Access","created":"2024-05-06","cited_by_count":2,"area":null},{"id":"2410.02598","title":"High-Efficiency Neural Video Compression via Hierarchical Predictive Learning","created":"2024-10-03","cited_by_count":2,"area":null},{"id":"2511.06953","title":"GFix: Perceptually Enhanced Gaussian Splatting Video Compression","created":"2025-11-10","cited_by_count":2,"area":null},{"id":"2512.12790","title":"L-STEC: Learned Video Compression with Long-term Spatio-Temporal Enhanced Context","created":"2025-12-14","cited_by_count":2,"area":null},{"id":"2104.03305","title":"Learned transform compression with optimized entropy encoding","created":"2021-04-07","cited_by_count":1,"area":null},{"id":"2106.02796","title":"Principal Bit Analysis: Autoencoding with Schur-Concave Loss","created":"2021-06-05","cited_by_count":1,"area":null},{"id":"2212.13659","title":"Latent Discretization for Continuous-time Sequence Compression","created":"2022-12-28","cited_by_count":1,"area":null},{"id":"2506.01414","title":"Self-supervised Latent Space Optimization with Nebula Variational Coding","created":"2025-06-02","cited_by_count":1,"area":null},{"id":"2111.01662","title":"OSOA: One-Shot Online Adaptation of Deep Generative Models for Lossless Compression","created":"2021-11-02","cited_by_count":0,"area":null},{"id":"2309.10784","title":"Context-Aware Neural Video Compression on Solar Dynamics Observatory","created":"2023-09-19","cited_by_count":0,"area":null},{"id":"2407.15730","title":"Neural-based Video Compression on Solar Dynamics Observatory Images","created":"2024-07-12","cited_by_count":0,"area":null},{"id":"2408.10665","title":"End-to-end learned Lossy Dynamic Point Cloud Attribute Compression","created":"2024-08-20","cited_by_count":0,"area":null},{"id":"2410.18400","title":"DMVC: Multi-Camera Video Compression Network aimed at Improving Deep Learning Accuracy","created":"2024-10-24","cited_by_count":0,"area":null},{"id":"2411.16312","title":"EPS: Efficient Patch Sampling for Video Overfitting in Deep Super-Resolution Model Training","created":"2024-11-25","cited_by_count":0,"area":null},{"id":"2501.01231","title":"Exploiting Latent Properties to Optimize Neural Codecs","created":"2025-01-02","cited_by_count":0,"area":null},{"id":"2503.08819","title":"Residual Learning and Filtering Networks for End-to-End Lossless Video Compression","created":"2025-03-11","cited_by_count":0,"area":null},{"id":"2510.10300","title":"The Algorithmic Regulator","created":"2025-10-11","cited_by_count":0,"area":null},{"id":"2607.26106","title":"ScalablePromptus: Scalable and High-Fidelity Prompt-Based Video Streaming","created":"2026-07-28","cited_by_count":0,"area":null},{"id":"2607.28020","title":"ENCORE: Event-Assisted Complementary Motion Refinement for Learned Video Compression","created":"2026-07-30","cited_by_count":0,"area":null}],"next_cursor":null}