2 citations · 2 across the 3 of their papers we have counts for
5 papers · 1 filter
MLICv2: Enhanced Multi-Reference Entropy Modeling for Learned Image Compression
Wei Jiang, Yongqi Zhai, Jiayu Yang +2
Recent advances in learned image compression (LIC) have achieved remarkable performance improvements over traditional codecs. Notably, the MLIC series-LICs equipped with multi-refe…
ECVC: Exploiting Non-Local Correlations in Multiple Frames for Contextual Video Compression
Wei Jiang, Junru Li, Kai Zhang +1
In Learned Video Compression (LVC), improving inter prediction, such as enhancing temporal context mining and mitigating accumulated errors, is crucial for boosting rate-distortion…
MLIC++: Linear Complexity Multi-Reference Entropy Modeling for Learned Image Compression
Wei Jiang, Jiayu Yang, Yongqi Zhai +2
The latent representation in learned image compression encompasses channel-wise, local spatial, and global spatial correlations, which are essential for the entropy model to captur…
MLIC: Multi-Reference Entropy Model for Learned Image Compression
Wei Jiang, Jiayu Yang, Yongqi Zhai +3
Recently, learned image compression has achieved remarkable performance. The entropy model, which estimates the distribution of the latent representation, plays a crucial role in b…
LVC-LGMC: Joint Local and Global Motion Compensation for Learned Video Compression
Wei Jiang, Junru Li, Kai Zhang +1
Existing learned video compression models employ flow net or deformable convolutional networks (DCN) to estimate motion information. However, the limited receptive fields of flow n…