Video Compression

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

5 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 146 papers with code (496 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• CompressAI: a PyTorch library and evaluation platform for end-to-end compression research
  5 Nov 2020 4 repositories listed Syntology ran 6 of 6 samples · 0 unverified · 6 pointer-only (licence)
  This paper presents CompressAI, a platform that provides custom operations, layers, models and tools to research, develop and evaluate end-to-end image and video compression codecs.
• OpenDVC: An Open Source Implementation of the DVC Video Compression Method
  29 Jun 2020 4 repositories listed
  At the time of writing this report, several learned video compression methods are superior to DVC, but currently none of them provides open source codes.
• SME-Net: Sparse Motion Estimation for Parametric Video Prediction Through Reinforcement Learning
  1 Oct 2019 4 repositories listed
  Inspired by the success of sparse motion-based prediction for video compression, we propose a parametric video prediction on a sparse motion field composed of few critical pixels and their motion vectors.
• DVC: An End-to-end Deep Video Compression Framework
  30 Nov 2018 4 repositories listed Syntology ran 3 of 4 samples · 1 unverified · 3 pointer-only (licence)
  Conventional video compression approaches use the predictive coding architecture and encode the corresponding motion information and residual information.
• MGANet: A Robust Model for Quality Enhancement of Compressed Video
  22 Nov 2018 4 repositories listed
  In video compression, most of the existing deep learning approaches concentrate on the visual quality of a single frame, while ignoring the useful priors as well as the temporal information of adjacent frames.
• Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation
  9 Oct 2023 3 repositories listed Syntology ran 12 of 20 samples · 8 unverified
  While Large Language Models (LLMs) are the dominant models for generative tasks in language, they do not perform as well as diffusion models on image and video generation.
• NeRV: Neural Representations for Videos
  26 Oct 2021 3 repositories listed Syntology ran 7 of 10 samples · 3 unverified · 10 pointer-only (licence)
  In contrast, with NeRV, we can use any neural network compression method as a proxy for video compression, and achieve comparable performance to traditional frame-based video compression approaches (H.
• Transformer-based Transform Coding
  29 Sep 2021 3 repositories listed
  Neural data compression based on nonlinear transform coding has made great progress over the last few years, mainly due to improvements in prior models, quantization methods and nonlinear transforms.
• Perceptual Learned Video Compression with Recurrent Conditional GAN
  7 Sep 2021 3 repositories listed Syntology ran 0 of 10 samples · 10 unverified
  This paper proposes a Perceptual Learned Video Compression (PLVC) approach with recurrent conditional GAN.
• Hierarchical Autoregressive Modeling for Neural Video Compression
  19 Oct 2020 3 repositories listed Syntology ran 16 of 29 samples · 13 unverified · 21 pointer-only (licence)
  Recent work by Marino et al.
• Learning for Video Compression with Hierarchical Quality and Recurrent Enhancement
  4 Mar 2020 3 repositories listed Syntology ran 0 of 2 samples · 2 unverified
  In our HLVC approach, the hierarchical quality benefits the coding efficiency, since the high quality information facilitates the compression and enhancement of low quality frames at encoder and decoder sides,…
• Disentangled Sequential Autoencoder
  8 Mar 2018 3 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  This architecture gives us partial control over generating content and dynamics by conditioning on either one of these sets of features.
• Semantic Perceptual Image Compression using Deep Convolution Networks
  27 Dec 2016 3 repositories listed
  Here, we present a powerful cnn tailored to the specific task of semantic image understanding to achieve higher visual quality in lossy compression.
• Video Compression Commander: Plug-and-Play Inference Acceleration for Video Large Language Models
  20 May 2025 2 repositories listed Syntology ran 9 of 10 samples · 1 unverified
  Video large language models (VideoLLM) excel at video understanding, but face efficiency challenges due to the quadratic complexity of abundant visual tokens.
• Image and Video Tokenization with Binary Spherical Quantization
  11 Jun 2024 2 repositories listed Syntology ran 11 of 14 samples · 3 unverified
  The resulting BSQ-ViT achieves state-of-the-art visual reconstruction quality on image and video reconstruction benchmarks with 2.
• Image Coding for Machines with Edge Information Learning Using Segment Anything
  7 Mar 2024 2 repositories listed
  Image Coding for Machines (ICM) is an image compression technique for image recognition.
• Neural Video Compression with Diverse Contexts
  28 Feb 2023 2 repositories listed
  Better yet, our codec has surpassed the under-developing next generation traditional codec/ECM in both RGB and YUV420 colorspaces, in terms of PSNR.
• Flexible-Rate Learned Hierarchical Bi-Directional Video Compression With Motion Refinement and Frame-Level Bit Allocation
  27 Jun 2022 2 repositories listed
  This paper presents improvements and novel additions to our recent work on end-to-end optimized hierarchical bi-directional video compression to further advance the state-of-the-art in learned video compression.
• End-to-End Rate-Distortion Optimized Learned Hierarchical Bi-Directional Video Compression
  17 Dec 2021 2 repositories listed
  Conventional video compression (VC) methods are based on motion compensated transform coding, and the steps of motion estimation, mode and quantization parameter selection, and entropy coding are optimized individually…
• Deep Contextual Video Compression
  30 Sep 2021 2 repositories listed Syntology ran 12 of 21 samples · 9 unverified
  In this paper, we propose a deep contextual video compression framework to enable a paradigm shift from predictive coding to conditional coding.
• DFPN: Deformable Frame Prediction Network
  26 May 2021 2 repositories listed
  Learned frame prediction is a current problem of interest in computer vision and video compression.
• Learning for Video Compression with Recurrent Auto-Encoder and Recurrent Probability Model
  24 Jun 2020 2 repositories listed Syntology ran 0 of 5 samples · 5 unverified
  The experiments show that our approach achieves the state-of-the-art learned video compression performance in terms of both PSNR and MS-SSIM.
• Convolutional Tensor-Train LSTM for Spatio-temporal Learning
  21 Feb 2020 2 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  Learning from spatio-temporal data has numerous applications such as human-behavior analysis, object tracking, video compression, and physics simulation.
• Remote Heart Rate Measurement from Highly Compressed Facial Videos: an End-to-end Deep Learning Solution with Video Enhancement
  27 Jul 2019 2 repositories listed
  The method includes two parts: 1) a Spatio-Temporal Video Enhancement Network (STVEN) for video enhancement, and 2) an rPPG network (rPPGNet) for rPPG signal recovery.
• Enhancing Quality for VVC Compressed Videos by Jointly Exploiting Spatial Details and Temporal Structure
  28 Jan 2019 2 repositories listed
  In this paper, we propose a quality enhancement network of versatile video coding (VVC) compressed videos by jointly exploiting spatial details and temporal structure (SDTS).
• Video Compression for Spatiotemporal Earth System Data
  24 Jun 2025 1 repository listed
  Large-scale Earth system datasets, from high-resolution remote sensing imagery to spatiotemporal climate model outputs, exhibit characteristics analogous to those of standard videos.
• Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model
  19 May 2025 1 repository listed
  In this paper, we propose a hybrid compression scheme optimized for perceptual quality, extending the approach of the CDC model with a decoder network in order to reduce the impact on distortion metrics such as PSNR.
• BiECVC: Gated Diversification of Bidirectional Contexts for Learned Video Compression
  14 May 2025 1 repository listed
  To tackle these challenges, we propose BiECVC, a BVC framework that incorporates diversified local and non-local context modeling along with adaptive context gating.
• FG-DFPN: Flow Guided Deformable Frame Prediction Network
  14 Mar 2025 1 repository listed
  The integration of motion cues with adaptive geometric transformations makes FG-DFPN a promising solution for next-generation video processing systems that require high-fidelity temporal predictions.
• Rethinking Video Tokenization: A Conditioned Diffusion-based Approach
  5 Mar 2025 1 repository listed
  Trained using only a basic MSE diffusion loss for reconstruction, along with KL term and LPIPS perceptual loss from scratch, extensive experiments demonstrate that CDT achieves state-of-the-art performance in video…

Syntology lines on 13 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.