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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 1–50 of 496 papers

TitleStatusHype
Tora: Trajectory-oriented Diffusion Transformer for Video GenerationCode5
Video Seal: Open and Efficient Video WatermarkingCode4
Language Model Beats Diffusion -- Tokenizer is Key to Visual GenerationCode4
Image and Video Tokenization with Binary Spherical QuantizationCode3
Video Compression for Spatiotemporal Earth System DataCode2
Video Compression Commander: Plug-and-Play Inference Acceleration for Video Large Language ModelsCode2
Promptus: Can Prompts Streaming Replace Video Streaming with Stable DiffusionCode2
Extreme Video Compression with Pre-trained Diffusion ModelsCode2
Sandwiched Compression: Repurposing Standard Codecs with Neural Network WrappersCode2
ColorVideoVDP: A visual difference predictor for image, video and display distortionsCode2
BiECVC: Gated Diversification of Bidirectional Contexts for Learned Video CompressionCode1
Rethinking Video Tokenization: A Conditioned Diffusion-based ApproachCode1
High Dynamic Range Video Compression: A Large-Scale Benchmark Dataset and A Learned Bit-depth Scalable Compression AlgorithmCode1
ReTaKe: Reducing Temporal and Knowledge Redundancy for Long Video UnderstandingCode1
ECVC: Exploiting Non-Local Correlations in Multiple Frames for Contextual Video CompressionCode1
High-Efficiency Neural Video Compression via Hierarchical Predictive LearningCode1
AIM 2024 Challenge on Video Saliency Prediction: Methods and ResultsCode1
AIM 2024 Challenge on Compressed Video Quality Assessment: Methods and ResultsCode1
ReLaX-VQA: Residual Fragment and Layer Stack Extraction for Enhancing Video Quality AssessmentCode1
Bidirectional Stereo Image Compression with Cross-Dimensional Entropy ModelCode1
SMC++: Masked Learning of Unsupervised Video Semantic CompressionCode1
I^2VC: A Unified Framework for Intra- & Inter-frame Video CompressionCode1
Parameter-Efficient Instance-Adaptive Neural Video CompressionCode1
VQ-NeRV: A Vector Quantized Neural Representation for VideosCode1
Image Coding for Machines with Edge Information Learning Using Segment AnythingCode1
Implicit-explicit Integrated Representations for Multi-view Video CompressionCode1
Coordinate-Aware Modulation for Neural FieldsCode1
Perceptual Quality Improvement in Videoconferencing using Keyframes-based GANCode1
VCISR: Blind Single Image Super-Resolution with Video Compression Synthetic DataCode1
VCD: A Video Conferencing Dataset for Video CompressionCode1
Multi-Scale Deformable Alignment and Content-Adaptive Inference for Flexible-Rate Bi-Directional Video CompressionCode1
HiNeRV: Video Compression with Hierarchical Encoding-based Neural RepresentationCode1
The Bjøntegaard Bible -- Why your Way of Comparing Video Codecs May Be WrongCode1
Perceptual Quality Assessment of Face Video Compression: A Benchmark and An Effective MethodCode1
HNeRV: A Hybrid Neural Representation for VideosCode1
MMVC: Learned Multi-Mode Video Compression with Block-based Prediction Mode Selection and Density-Adaptive Entropy CodingCode1
Low-complexity Deep Video Compression with A Distributed Coding ArchitectureCode1
Neural Video Compression with Diverse ContextsCode1
Non-Semantics Suppressed Mask Learning for Unsupervised Video Semantic CompressionCode1
FFNeRV: Flow-Guided Frame-Wise Neural Representations for VideosCode1
Scalable Hybrid Learning Techniques for Scientific Data CompressionCode1
Video compression dataset and benchmark of learning-based video-quality metricsCode1
Perceptual Video Coding for Machines via Satisfied Machine Ratio ModelingCode1
Advancing Learned Video Compression with In-loop Frame PredictionCode1
Scalable Neural Video Representations with Learnable Positional FeaturesCode1
Bit Allocation using OptimizationCode1
Explaining Deepfake Detection by Analysing Image MatchingCode1
CANF-VC: Conditional Augmented Normalizing Flows for Video CompressionCode1
Flexible-Rate Learned Hierarchical Bi-Directional Video Compression With Motion Refinement and Frame-Level Bit AllocationCode1
Diffusion Probabilistic Modeling for Video GenerationCode1
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