2 citations · 2 across the 4 of their papers we have counts for
5 papers
Video Compression with Graph-inspired Neural Representation
Changqi Wang, Ge Gao, Fan Zhang +4
Implicit Neural Representations (INR) provide a compact and content-adaptive paradigm for video compression, typically representing a video through shared network parameters and fr…
From Noise to Latent: Generating Gaussian Latents for INR-Based Image Compression
Chaoyi Lin, Yaojun Wu, Yue Li +3
Recent implicit neural representation (INR)-based image compression methods have shown competitive performance by overfitting image-specific latent codes. However, they remain infe…
Releasing the Parameter Latency of Neural Representation for High-Efficiency Video Compression
Gai Zhang, Xinfeng Zhang, Lv Tang +3
For decades, video compression technology has been a prominent research area. Traditional hybrid video compression framework and end-to-end frameworks continue to explore various i…
A Neural-network Enhanced Video Coding Framework beyond ECM
Yanchen Zhao, Wenxuan He, Chuanmin Jia +7
In this paper, a hybrid video compression framework is proposed that serves as a demonstrative showcase of deep learning-based approaches extending beyond the confines of tradition…
Designs and Implementations in Neural Network-based Video Coding
Yue Li, Junru Li, Chaoyi Lin +9
The past decade has witnessed the huge success of deep learning in well-known artificial intelligence applications such as face recognition, autonomous driving, and large language…