SOTAVerified

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 26–50 of 496 papers

TitleStatusHype
Efficient Video Compression via Content-Adaptive Super-ResolutionCode1
Advancing Learned Video Compression with In-loop Frame PredictionCode1
Enhancing Quality for VVC Compressed Videos by Jointly Exploiting Spatial Details and Temporal StructureCode1
Low-complexity Deep Video Compression with A Distributed Coding ArchitectureCode1
M-LVC: Multiple Frames Prediction for Learned Video CompressionCode1
DFPN: Deformable Frame Prediction NetworkCode1
Hierarchical Autoregressive Modeling for 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
Convolutional Tensor-Train LSTM for Spatio-temporal LearningCode1
High Dynamic Range Video Compression: A Large-Scale Benchmark Dataset and A Learned Bit-depth Scalable Compression AlgorithmCode1
A Unified End-to-End Framework for Efficient Deep Image CompressionCode1
FVC: A New Framework towards Deep Video Compression in Feature SpaceCode1
CANF-VC: Conditional Augmented Normalizing Flows for Video CompressionCode1
AIM 2024 Challenge on Compressed Video Quality Assessment: Methods and ResultsCode1
HiNeRV: Video Compression with Hierarchical Encoding-based Neural RepresentationCode1
HNeRV: A Hybrid Neural Representation for VideosCode1
Image Coding for Machines with Edge Information Learning Using Segment AnythingCode1
Implicit-explicit Integrated Representations for Multi-view Video CompressionCode1
Bidirectional Stereo Image Compression with Cross-Dimensional Entropy ModelCode1
BiECVC: Gated Diversification of Bidirectional Contexts for Learned Video CompressionCode1
Bit Allocation using OptimizationCode1
Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial ExamplesCode1
DVC: An End-to-end Deep Video Compression FrameworkCode1
Diffusion Probabilistic Modeling for Video GenerationCode1
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