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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 26–50 of 496 papers

TitleStatusHype
GIViC: Generative Implicit Video Compression—0
PromptMobile: Efficient Promptus for Low Bandwidth Mobile Video Streaming—0
FG-DFPN: Flow Guided Deformable Frame Prediction NetworkCode0
Residual Learning and Filtering Networks for End-to-End Lossless Video Compression—0
Rethinking Video Tokenization: A Conditioned Diffusion-based ApproachCode1
UAR-NVC: A Unified AutoRegressive Framework for Memory-Efficient Neural Video Compression—0
Lossy Neural Compression for Geospatial Analytics: A Review—0
High Dynamic Range Video Compression: A Large-Scale Benchmark Dataset and A Learned Bit-depth Scalable Compression AlgorithmCode1
Towards Practical Real-Time Neural Video CompressionCode0
Hierarchical Semantic Compression for Consistent Image Semantic Restoration—0
Pleno-Generation: A Scalable Generative Face Video Compression Framework with Bandwidth Intelligence—0
CANeRV: Content Adaptive Neural Representation for Video Compression—0
Diffusion-based Perceptual Neural Video Compression with Temporal Diffusion Information Reuse—0
RL-RC-DoT: A Block-level RL agent for Task-Aware Video Compression—0
An Efficient Adaptive Compression Method for Human Perception and Machine Vision Tasks—0
GaussianVideo: Efficient Video Representation via Hierarchical Gaussian Splatting—0
MetaNeRV: Meta Neural Representations for Videos with Spatial-Temporal Guidance—0
Listening and Seeing Again: Generative Error Correction for Audio-Visual Speech RecognitionCode0
Plug-and-Play Versatile Compressed Video Enhancement—0
FLAVC: Learned Video Compression with Feature Level Attention—0
Perceptual Video Compression with Neural Wrapping—0
RivuletMLP: An MLP-based Architecture for Efficient Compressed Video Quality Enhancement—0
CoordFlow: Coordinate Flow for Pixel-wise Neural Video Representation—0
ReTaKe: Reducing Temporal and Knowledge Redundancy for Long Video UnderstandingCode1
Adaptive Rate Control for Deep Video Compression with Rate-Distortion Prediction—0
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