1 code implementation • 26 Mar 2025 • Jinwei Li, Huan-ang Gao, Wenyi Li, Haohan Chi, Chenyu Liu, Chenxi Du, Yiqian Liu, Mingju Gao, Guiyu Zhang, Zongzheng Zhang, Li Yi, Yao Yao, Jingwei Zhao, Hongyang Li, Yikai Wang, Hao Zhao
Inspired by recent findings that pretrained diffusion features capture rich correspondences, we propose FB-4D, a novel 4D generation framework that integrates a Feature Bank mechanism to enhance both spatial and temporal consistency in generated frames.
no code implementations • 23 Aug 2024 • Hang Zou, Chenxi Du, HUI ZHANG, Yuan Zhang, Ajian Liu, Jun Wan, Zhen Lei
Some studies attempt to combine the sparse data from both types of attacks into a single dataset and try to find a common feature space, which is often impractical due to the space is difficult to be found or even non-existent.
no code implementations • 19 Aug 2024 • Hang Zou, Chenxi Du, Ajian Liu, Yuan Zhang, Jing Liu, MingChuan Yang, Jun Wan, HUI ZHANG
Specifically, we utilize the Mixture of Experts (MoE) to fit complex data distributions using multiple sub-neural networks.