no code implementations • 14 Mar 2024 • Ziran Zhu, Tongda Xu, Ling Li, Yan Wang
This trade-off depicts the best divergence we can achieve when noise is limited.
no code implementations • 9 Feb 2024 • Tongda Xu, Ziran Zhu, Dailan He, Yuanyuan Wang, Ming Sun, Ning li, Hongwei Qin, Yan Wang, Jingjing Liu, Ya-Qin Zhang
In addition, we propose a new family of DIS using pure CM.
1 code implementation • 17 Jan 2024 • Tongda Xu, Ziran Zhu, Dailan He, Yanghao Li, Lina Guo, Yuanyuan Wang, Zhe Wang, Hongwei Qin, Yan Wang, Jingjing Liu, Ya-Qin Zhang
However, we find that theoretically: 1) Conditional generative model-based perceptual codec satisfies idempotence; 2) Unconditional generative model with idempotence constraint is equivalent to conditional generative codec.
no code implementations • 1 Aug 2023 • Biao Liu, Congyu Qiao, Ning Xu, Xin Geng, Ziran Zhu, Jun Yang
In order to fully exploit the inherent spatial label-correlation between neighboring grids, we propose a novel approach, {\ours}, i. e., VAriational Label-Correlation Enhancement for Congestion Prediction, which considers the local label-correlation in the congestion map, associating the estimated congestion value of each grid with a local label-correlation weight influenced by its surrounding grids.