SOURCE-LINKED INTELLIGENCE
Deformable 2D Gaussian Splatting for Efficient 4K Video Compression
Ultra-High-Definition (UHD) video presents significant challenges for efficient storage and real-time decoding. Learning-based methods, such as Neural Video Compression (NVC) and Implicit Neural Representations (INR), achieve competitive rate-distortion performance but suffer from high decoding latency and excessive memory usage. Meanwhile, Gaussian Splatting has recently attracted attention in the computer graphics community due to its ultra-fast rendering and high-fidelity visual quality. Despite these advantages, its application in video compression remains largely unexplored. To bridge thi
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-12T20:18:25.000Z
First collected: 2026-09-20T12:41:04.663Z. This is not the publication date.