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Video Compression

Video Compression is a process of reducing the size of an image or video file by exploiting spatial and temporal redundancies within an image or video frame and across multiple video frames. The ultimate goal of a successful Video Compression system is to reduce data volume while retaining the perceptual quality of the decompressed data.

Source: Adversarial Video Compression Guided by Soft Edge Detection

Papers

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Showing 51–100 of 496 papers

TitleStatusHype
Perceptual Quality Assessment of Face Video Compression: A Benchmark and An Effective MethodCode1
DVC-P: Deep Video Compression with Perceptual OptimizationsCode1
BiECVC: Gated Diversification of Bidirectional Contexts for Learned Video CompressionCode1
Low-complexity Deep Video Compression with A Distributed Coding ArchitectureCode1
MMVC: Learned Multi-Mode Video Compression with Block-based Prediction Mode Selection and Density-Adaptive Entropy CodingCode1
Multi-Scale Deformable Alignment and Content-Adaptive Inference for Flexible-Rate Bi-Directional Video CompressionCode1
Convolutional Tensor-Train LSTM for Spatio-temporal LearningCode1
Perceptual Quality Improvement in Videoconferencing using Keyframes-based GANCode1
NeRV: Neural Representations for VideosCode1
CANF-VC: Conditional Augmented Normalizing Flows for Video CompressionCode1
HiNeRV: Video Compression with Hierarchical Encoding-based Neural RepresentationCode1
Neural Residual Flow Fields for Efficient Video RepresentationsCode1
Deep Learning in Latent Space for Video Prediction and CompressionCode1
Non-Semantics Suppressed Mask Learning for Unsupervised Video Semantic CompressionCode1
DFPN: Deformable Frame Prediction NetworkCode1
Deep Contextual Video CompressionCode1
AIM 2024 Challenge on Compressed Video Quality Assessment: Methods and ResultsCode1
Diffusion Probabilistic Modeling for Video GenerationCode1
DVC: An End-to-end Deep Video Compression FrameworkCode1
Parameter-Efficient Instance-Adaptive Neural Video CompressionCode1
CompressAI: a PyTorch library and evaluation platform for end-to-end compression researchCode1
AIM 2024 Challenge on Video Saliency Prediction: Methods and ResultsCode1
ECVC: Exploiting Non-Local Correlations in Multiple Frames for Contextual Video CompressionCode1
OpenDVC: An Open Source Implementation of the DVC Video Compression MethodCode1
A Unified End-to-End Framework for Efficient Deep Image CompressionCode1
Enhancing Quality for VVC Compressed Videos by Jointly Exploiting Spatial Details and Temporal StructureCode1
Perceptual Learned Video Compression with Recurrent Conditional GANCode1
Explaining Deepfake Detection by Analysing Image MatchingCode1
Self-Conditioned Probabilistic Learning of Video RescalingCode1
Neural radiance fields in the industrial and robotics domain: applications, research opportunities and use casesCode0
Neural Video Compression with Context ModulationCode0
An Interactive Annotation Tool for Perceptual Video CompressionCode0
C3: High-performance and low-complexity neural compression from a single image or videoCode0
MNeRV: A Multilayer Neural Representation for VideosCode0
MotionAura: Generating High-Quality and Motion Consistent Videos using Discrete DiffusionCode0
BVI-CR: A Multi-View Human Dataset for Volumetric Video CompressionCode0
BVI-AOM: A New Training Dataset for Deep Video Compression OptimizationCode0
Neural Video Compression with Feature ModulationCode0
Lossless compression with state space models using bits back codingCode0
MCUCoder: Adaptive Bitrate Learned Video Compression for IoT DevicesCode0
Light Field Compression by Residual CNN Assisted JPEGCode0
Learning to Compress Videos without Computing MotionCode0
Listening and Seeing Again: Generative Error Correction for Audio-Visual Speech RecognitionCode0
MGANet: A Robust Model for Quality Enhancement of Compressed VideoCode0
DeepCache: Principled Cache for Mobile Deep VisionCode0
DeepCABAC: A Universal Compression Algorithm for Deep Neural NetworksCode0
LCCM-VC: Learned Conditional Coding Modes for Video CompressionCode0
Joint Optimization for SSIM-Based CTU-Level Bit Allocation and Rate Distortion OptimizationCode0
Learned Scalable Video Coding For Humans and MachinesCode0
NIRVANA: Neural Implicit Representations of Videos with Adaptive Networks and Autoregressive Patch-wise ModelingCode0
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