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 51–75 of 496 papers

TitleStatusHype
Neural Residual Flow Fields for Efficient Video RepresentationsCode1
Learning Cross-Scale Weighted Prediction for Efficient Neural Video CompressionCode1
End-to-End Rate-Distortion Optimized Learned Hierarchical Bi-Directional Video CompressionCode1
NeRV: Neural Representations for VideosCode1
Deep Contextual Video CompressionCode1
Transformer-based Transform CodingCode1
DVC-P: Deep Video Compression with Perceptual OptimizationsCode1
Perceptual Learned Video Compression with Recurrent Conditional GANCode1
Learned Video Compression with Residual Prediction and Loop FilterCode1
Self-Conditioned Probabilistic Learning of Video RescalingCode1
Txt2Vid: Ultra-Low Bitrate Compression of Talking-Head Videos via TextCode1
Deep Learning in Latent Space for Video Prediction and CompressionCode1
Improved CNN-based Learning of Interpolation Filters for Low-Complexity Inter Prediction in Video CodingCode1
DFPN: Deformable Frame Prediction NetworkCode1
FVC: A New Framework towards Deep Video Compression in Feature SpaceCode1
Spatiotemporal Entropy Model is All You Need for Learned Video CompressionCode1
Efficient Video Compression via Content-Adaptive Super-ResolutionCode1
CompressAI: a PyTorch library and evaluation platform for end-to-end compression researchCode1
Hierarchical Autoregressive Modeling for Neural Video CompressionCode1
OpenDVC: An Open Source Implementation of the DVC Video Compression MethodCode1
Learning for Video Compression with Recurrent Auto-Encoder and Recurrent Probability ModelCode1
Interpreting CNN for Low Complexity Learned Sub-pixel Motion Compensation in Video CodingCode1
M-LVC: Multiple Frames Prediction for Learned Video CompressionCode1
Learning for Video Compression with Hierarchical Quality and Recurrent EnhancementCode1
Convolutional Tensor-Train LSTM for Spatio-temporal LearningCode1
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