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Video Compression
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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
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Video Compression for Spatiotemporal Earth System Data
MSNeRV: Neural Video Representation with Multi-Scale Feature Fusion
Audio-Visual Driven Compression for Low-Bitrate Talking Head Videos
Rethinking Generative Human Video Coding with Implicit Motion Transformation
Generalized Gaussian Entropy Model for Point Cloud Attribute Compression with Dynamic Likelihood Intervals
Generative Models at the Frontier of Compression: A Survey on Generative Face Video Coding
Highly Efficient Non-Separable Transforms for Next Generation Video Coding
Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression
Robo-DM: Data Management For Large Robot Datasets
Video Compression Commander: Plug-and-Play Inference Acceleration for Video Large Language Models
Neural Video Compression with Context Modulation
Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model
BiECVC: Gated Diversification of Bidirectional Contexts for Learned Video Compression
Neural Video Compression using 2D Gaussian Splatting
Emerging Advances in Learned Video Compression: Models, Systems and Beyond
SR-NeRV: Improving Embedding Efficiency of Neural Video Representation via Super-Resolution
Neural Stereo Video Compression with Hybrid Disparity Compensation
Low-Rank Adaptation of Neural Fields
TVC: Tokenized Video Compression with Ultra-Low Bitrate
Text-Audio-Visual-conditioned Diffusion Model for Video Saliency Prediction
FANeRV: Frequency Separation and Augmentation based Neural Representation for Video
L-LBVC: Long-Term Motion Estimation and Prediction for Learned Bi-Directional Video Compression
Enhancing 3D Gaussian Splatting Compression via Spatial Condition-based Prediction
Improved Motion Plane Adaptive 360-Degree Video Compression Using Affine Motion Models
GIViC: Generative Implicit Video Compression
PromptMobile: Efficient Promptus for Low Bandwidth Mobile Video Streaming
FG-DFPN: Flow Guided Deformable Frame Prediction Network
Residual Learning and Filtering Networks for End-to-End Lossless Video Compression
Rethinking Video Tokenization: A Conditioned Diffusion-based Approach
UAR-NVC: A Unified AutoRegressive Framework for Memory-Efficient Neural Video Compression
Lossy Neural Compression for Geospatial Analytics: A Review
High Dynamic Range Video Compression: A Large-Scale Benchmark Dataset and A Learned Bit-depth Scalable Compression Algorithm
Towards Practical Real-Time Neural Video Compression
Hierarchical Semantic Compression for Consistent Image Semantic Restoration
Pleno-Generation: A Scalable Generative Face Video Compression Framework with Bandwidth Intelligence
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