1 code implementation • 19 Mar 2024 • Yihong Luo, Xiaolong Chen, Jing Tang
We introduce YOSO, a novel generative model designed for rapid, scalable, and high-fidelity one-step image synthesis.
1 code implementation • 7 Nov 2023 • Yihong Luo, Siya Qiu, Xingjian Tao, Yujun Cai, Jing Tang
To address these issues, we introduce a conditional EBM for calibrating the generative direction of VAE during training, without requiring it for the generation at test time.
1 code implementation • 7 May 2023 • Yuhan Chen, Yihong Luo, Jing Tang, Liang Yang, Siya Qiu, Chuan Wang, Xiaochun Cao
Motivated by it, we propose to use the local similarity (LocalSim) to learn node-level weighted fusion, which can also serve as a plug-and-play module.
1 code implementation • CVPR 2022 • Shian Du, Yihong Luo, Wei Chen, Jian Xu, Delu Zeng
In this paper, a temporal optimization is proposed by optimizing the evolutionary time for forward propagation of the neural ODE training.