125 citations · 173 across the 12 of their papers we have counts for
5 papers · 1 filter
A Noise Constrained Diffusion (NC-Diffusion) Framework for High Fidelity Image Compression
Zhenyu Du, Yanbo Gao, Shuai Li +3
With the great success of diffusion models in image generation, diffusion-based image compression is attracting increasing interests. However, due to the random noise introduced in…
CWRNN-INVR: A Coupled WarpRNN based Implicit Neural Video Representation
Yiyang Li, Yanbo Gao, Shuai Li +5
Implicit Neural Video Representation (INVR) has emerged as a novel approach for video representation and compression, using learnable grids and neural networks. Existing methods fo…
Approximately Invertible Neural Network for Learned Image Compression
Yanbo Gao, Meng Fu, Shuai Li +4
Learned image compression have attracted considerable interests in recent years. It typically comprises an analysis transform, a synthesis transform, quantization and an entropy co…
Spatial-Temporal Transformer based Video Compression Framework
Yanbo Gao, Wenjia Huang, Shuai Li +3
Learned video compression (LVC) has witnessed remarkable advancements in recent years. Similar as the traditional video coding, LVC inherits motion estimation/compensation, residua…
A Global Appearance and Local Coding Distortion based Fusion Framework for CNN based Filtering in Video Coding
Jian Yue, Yanbo Gao, Shuai Li +2
In-loop filtering is used in video coding to process the reconstructed frame in order to remove blocking artifacts. With the development of convolutional neural networks (CNNs), CN…