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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 1–25 of 496 papers

TitleStatusHype
GSVR: 2D Gaussian-based Video Representation for 800+ FPS with Hybrid Deformation Field—0
Video Compression for Spatiotemporal Earth System DataCode2
MSNeRV: Neural Video Representation with Multi-Scale Feature Fusion—0
Audio-Visual Driven Compression for Low-Bitrate Talking Head Videos—0
Rethinking Generative Human Video Coding with Implicit Motion Transformation—0
Generalized Gaussian Entropy Model for Point Cloud Attribute Compression with Dynamic Likelihood Intervals—0
Generative Models at the Frontier of Compression: A Survey on Generative Face Video Coding—0
Highly Efficient Non-Separable Transforms for Next Generation Video Coding—0
Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression—0
Robo-DM: Data Management For Large Robot Datasets—0
Neural Video Compression with Context ModulationCode0
Video Compression Commander: Plug-and-Play Inference Acceleration for Video Large Language ModelsCode2
Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion modelCode0
Neural Video Compression using 2D Gaussian Splatting—0
BiECVC: Gated Diversification of Bidirectional Contexts for Learned Video CompressionCode1
SR-NeRV: Improving Embedding Efficiency of Neural Video Representation via Super-Resolution—0
Emerging Advances in Learned Video Compression: Models, Systems and Beyond—0
Neural Stereo Video Compression with Hybrid Disparity Compensation—0
TVC: Tokenized Video Compression with Ultra-Low Bitrate—0
Low-Rank Adaptation of Neural Fields—0
Text-Audio-Visual-conditioned Diffusion Model for Video Saliency Prediction—0
FANeRV: Frequency Separation and Augmentation based Neural Representation for Video—0
L-LBVC: Long-Term Motion Estimation and Prediction for Learned Bi-Directional Video Compression—0
Enhancing 3D Gaussian Splatting Compression via Spatial Condition-based Prediction—0
Improved Motion Plane Adaptive 360-Degree Video Compression Using Affine Motion Models—0
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