Neural Video Compression

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4 papers in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

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Gaussian Splatting-based Volumetric Video Compression with Sparse 4D Anchors
Sep 27, 2026Ge Gao, Siyue Teng, Chanqgi Wang +53DGS Compression 3D Gaussian Splatting
Visual Information Lab, University of Bristol, UK · National Chung Cheng University, Taiwan · National Yang Ming Chiao Tung University, Taiwan
Information Capacity of Generative Video Compression: Quantifying the Rate-Compute Exchange at Identical Quality
Sep 23, 2026Cheng Yuan, Jiawei Shao, Xuelong LiRate-Distortion Optimization Neural Video Compression
Institute of Artificial Intelligence (TeleAI), China Telecom
tcnerv:dual-domain temporal context modeling for implicit neural video compression
Sep 15, 2026Xuezhi Xiang, Yixin Zhao, Heqi Xiang +2Implicit Neural Representations Neural Video Compression
Information and Communication Engineering, Harbin Engineering University, Harbin, 150001, China · Department of Computer Science, University of Toronto, Toronto, ON M5S 2E4, Canada · The Department of Computer Science, Kanagawa University, Kanagawa, 221-8686, Japan
Semantic-Aware Neural Video Codec for Error-Resilient Low-Latency Transmission
Sep 14, 2026Matin Mortaheb, Homa Esfahanizadeh, Jinfeng Du +1Semantic Communication Neural Video Compression
Nokia Bell Labs, Murray Hill, NJ 07974, USA
Neural Video Compression Based on Deformable Temporal Alignment and Difference-aware Fusion
Sep 3, 2026Chuyue Shan, Songlin Sun, Wang Chenwei +1Neural Video Compression
Beijing University of Posts and Telecommunications Beijing, China · Google · Nanjing University
Generative Video Compression Based on Hierarchical Referencing
Aug 12, 2026Daowen Li, Ding Ding, Zifu Zhang +2Video Diffusion Models Neural Video Compression
Alibaba Group, Hangzhou 311121, China
GVCCTurbo: Rate-Compute Quality Scheduling for Codebook Driven Generative Compression
Aug 4, 2026Ziyue Zeng, Dingjie Peng, Xun Su +1Learned Image Compression Rate-Distortion Optimization
Waseda University, Tokyo, Japan
ReGenVC: End-to-End Real-Time Generative Video Coding at Ultra-Low Bitrate
Jul 30, 2026Zheyuan Zhang, Johnson WuVideo Diffusion Models Real-Time Interactive Video Generation
Intel Corporation
ENCORE: Event-Assisted Complementary Motion Refinement for Learned Video Compression
Jul 30, 2026Shuhan Ye, Hongbin Yu, Chenqi Kong +4Optical Flow Event-Based Optical Flow
School of Computer Science, Wuhan University, Wuhan, China · School of Artificial Intelligence, Ningbo University, Ningbo, China · National University of Singapore, Singapore +2
ScalablePromptus: Scalable and High-Fidelity Prompt-Based Video Streaming
Jul 28, 2026Zehao Cao, Bowei Xu, Xun Cao +2Streaming Video Generation Neural Video Compression
1Nanjing University
Codebook Capacity Governs Perceptual Quality Across Resolutions in Hierarchical Discrete Video Compression
Jul 25, 2026Manikanta Kotthapalli, Banafsheh RekabdarVector-Quantized Variational Autoencoder Vector Quantization
Department of Computer Science Portland State University Portland, OR 97201
Generative Video Compression with Adaptive Score Distillation
Jul 24, 2026Naifu Xue, Zhaoyang Jia, Haosen Li +7Video Diffusion Models Diffusion Model Distillation
Communication University of China, Beijing, China · Microsoft Research Asia · University of Science and Technology of China, Hefei, China +1
Group-of-Latents: Perceptual Video Compression at Extreme Bitrates via Masked Latent Generative Modeling
Jul 21, 2026Shaokang Wang, Jinchang Xu, Peidong Jia +9Video Diffusion Models Neural Video Compression
1State Key Laboratory of Multimedia Information Processing, School of Computer Science, Peking University, Beijing, China · 2State Key Discipline Laboratory of Wide Band-Gap Semiconductor Technology, School of Microelectronics, Xidian University, Xi'an, China · 3X-humanoid, Beijing, China
DCVC-MB: Neural B-Frame Video Compression using State Space Models
Jul 15, 2026Arjun Arora, Calvin-Khang Ta, Carlos Restrepo-Galeano +7Predictive Coding Neural Video Compression
Dolby Laboratories · Voia · University of Delaware +1
Entropy-Coded MS-VQ-VAE with Learned Priors for Ultra-Low Bitrate Video Compression
Jun 28, 2026Manikanta Kotthapalli, Banafsheh RekabdarLearned Image Compression Vector-Quantized Variational Autoencoder
Portland State University Department of Computer Science Portland, OR, USA
Enhanced Neural Video Representation Compression across Extreme Complexity and Quality Scales
Jun 26, 2026Ho Man Kwan, Tianhao Peng, Fan Zhang +3Implicit Neural Representations Neural Video Compression
Visual Information Lab, University of Bristol, UK · Network Connectivity Services Research, BT, UK
MLVC: Multi-platform Learned Video Codec for Real-World Deployment
Jun 26, 2026Tanel Pärnamaa, Martin Lumiste, Ardi Loot +3Neural Video Compression Video Compression
Microsoft Corporation
Boosting Neural Video Codec via Scale-Driven Online Flow Refinement
Jun 22, 2026Tiange Zhang, Rongqun Lin, Haocheng Tang +4Optical Flow Multi-Scale Feature Fusion
1Peking University Shenzhen Graduate School · 2Pengcheng Laboratory · School of Computer Science, Peking University +2
ZeroGVC: Zero-Shot Generative Video Compression with Autoregressive Diffusion Priors
Jun 21, 2026Yixin Gao, Xiaohan Pan, Lin Liu +3Video Diffusion Models Neural Video Compression
University of Science and Technology of China · 2Huawei Inc.
A Projection-Based Surrogate Gradient Interpretation for Neural Codec Wrappers
Jun 12, 2026Esteban Pesnel, Julien Le Tanou, Michael Ropert +2Neural Network Optimization Neural Video Compression
COMPACT · MediaKind, Rennes, France · INRIA, Rennes, France
High-Fidelity Video Compression based on Invertible Neural Transform and Implicit Conditioning
Jun 11, 2026Siyue Teng, Ho Man Kwan, Yuxuan Jiang +2Invertible Neural Networks Neural Video Compression
Visual Information Lab, University of Bristol, UK
Ultra-Fast Neural Video Compression
Jun 3, 2026Jiahao Li, Wenxuan Xie, Zhaoyang Jia +4Neural Video Compression Video Compression
Microsoft Research Asia · University of Science and Technology of China · *Done during Zhaoyang Jia’s internship at Microsoft Research Asia.
NeR-SC: Adapting Neural Video Representation to Screen Content
May 26, 2026Ruohan Shi, Jiaoyan Zhao, Haogang FengImplicit Neural Representations Neural Video Compression
Management school The University of Sheffield · Undergraduate School of Artificial Intelligence Shenzhen Polytechnic University · School of Artificial Intelligence Shenzhen University of Information Technology
Neural Video Compression with Domain Transfer
May 13, 2026Tiange Zhang, Rongqun Lin, Xiandong Meng +4Test-Time Adaptation Cross-Domain Transfer Learning
Shenzhen Graduate School, Peking University, Shenzhen, China · Pengcheng Laboratory, Shenzhen, China · School of Computer Science, Peking University, Beijing, China
Active Sampling for Ultra-Low-Bit-Rate Video Compression via Conditional Controlled Diffusion
May 4, 2026Amirhosein Javadi, Shirin Saeedi Bidokhti, Tara JavidiLearned Image Compression Video Diffusion Models
Department of Electrical and Computer Engineering University of California San Diego · Department of Electrical and Systems Engineering University of Pennsylvania · Department of Electrical and Computer Engineering2026 University of California San Diego
NeuralLVC: Neural Lossless Video Compression via Masked Diffusion with Temporal Conditioning
Apr 3, 2026Tiberio Uricchio, Marco BertiniMasked Diffusion Models Neural Video Compression
University of Pisa · Pisa, Italy · Università degli Studi di Firenze +1
LRConv-NeRV: Low Rank Convolution for Efficient Neural Video Compression
Mar 18, 2026Tamer ShanablehVideo Representation Learning Neural Video Compression
American University of Sharjah, UAE, Department of Computer Science and Engineering
Single-step Diffusion-based Video Coding with Semantic-Temporal Guidance
Dec 8, 2025Naifu Xue, Zhaoyang Jia, Jiahao Li +4Diffusion Model Guidance Video Diffusion Models
Communication University of China · University of Science and Technology of China · Microsoft Research Asia
Real-Time Neural Video Compression with Unified Intra and Inter Coding
Oct 16, 2025Hui Xiang, Yifan Bian, Li Li +3Learned Image Compression Neural Video Compression
University of Science and Technology of China · Tencent Shannon Lab
Neural Stereo Video Compression with Hybrid Disparity Compensation
Apr 29, 2025Shiyin Jiang, Zhenghao Chen, Minghao Han +1Stereo Vision Neural Video Compression
School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China · School of Computer and Information Sciences, The University of Newcastle, Newcastle, NSW 2300, Australia

Sep 27, 2026, cs.CVJ/K move · Enter open · S save

Gaussian Splatting-based Volumetric Video Compression with Sparse 4D Anchors

Ge Gao, Siyue Teng, Chanqgi Wang, Fan Zhang+4

Visual Information Lab, University of Bristol, UK · National Chung Cheng University, Taiwan · National Yang Ming Chiao Tung University, Taiwan

3DGS Compression 3D Gaussian Splatting Neural Video Compression

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Immersive video communication requires photorealistic, render-efficient, and compact dynamic scene representations. 3D Gaussian Splatting (3DGS) offers a promising representation, but dynamic 3DGS remains difficult to compress due to dense primitives and spatiotemporal redundancy. Anchor-based formulations improve compactness with sparse scaffolds that share geometry and appearance across primitives. However, existing designs often rely on deforming a single canonical scaffold and condition each primitive on its associated anchor in isolation, limiting their ability to handle non-local dynamics and disocclusion while under-exploiting inter-anchor correlations, particularly in motion- or texture-dense regions. To address these limitations, we propose SAGA, a volumetric video codec built upon Sparse Anchor-assisted GAussian splatting representations. SAGA represents dynamic 3D scenes using hierarchically organized sparse 4D anchors, where coordinate-based INR decoders generate fine anchors and Gaussian primitives from inter-anchor interpolations, enabling compact parameter sharing across spatiotemporal structures. For long-range dependencies among unstructured anchors, we further introduce fixed-size memory slots with orthogonality-informed updates for accurate entropy-context modeling. Experiments show that SAGA achieves strong rate-distortion performance against GIFStream, with PSNR BD-rate reductions of 80.39% and 83.94% on Neu3D and MPEG MIV, respectively.

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