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 1–25 of 496 papers

TitleStatusHype
Tora: Trajectory-oriented Diffusion Transformer for Video GenerationCode5
Language Model Beats Diffusion -- Tokenizer is Key to Visual GenerationCode4
Video Seal: Open and Efficient Video WatermarkingCode4
Image and Video Tokenization with Binary Spherical QuantizationCode3
Video Compression for Spatiotemporal Earth System DataCode2
Extreme Video Compression with Pre-trained Diffusion ModelsCode2
Video Compression Commander: Plug-and-Play Inference Acceleration for Video Large Language ModelsCode2
Promptus: Can Prompts Streaming Replace Video Streaming with Stable DiffusionCode2
ColorVideoVDP: A visual difference predictor for image, video and display distortionsCode2
Sandwiched Compression: Repurposing Standard Codecs with Neural Network WrappersCode2
Enhancing Quality for VVC Compressed Videos by Jointly Exploiting Spatial Details and Temporal StructureCode1
CompressAI: a PyTorch library and evaluation platform for end-to-end compression researchCode1
Convolutional Tensor-Train LSTM for Spatio-temporal LearningCode1
End-to-End Rate-Distortion Optimized Learned Hierarchical Bi-Directional Video CompressionCode1
Coordinate-Aware Modulation for Neural FieldsCode1
Efficient Video Compression via Content-Adaptive Super-ResolutionCode1
Explaining Deepfake Detection by Analysing Image MatchingCode1
DVC: An End-to-end Deep Video Compression FrameworkCode1
Bidirectional Stereo Image Compression with Cross-Dimensional Entropy ModelCode1
Advancing Learned Video Compression with In-loop Frame PredictionCode1
Bit Allocation using OptimizationCode1
Diffusion Probabilistic Modeling for Video GenerationCode1
Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial ExamplesCode1
BiECVC: Gated Diversification of Bidirectional Contexts for Learned Video CompressionCode1
DVC-P: Deep Video Compression with Perceptual OptimizationsCode1
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