no code implementations • 15 Mar 2024 • Nan Gao, Jia Li, Huaibo Huang, Zhi Zeng, Ke Shang, Shuwu Zhang, Ran He
Experimental results demonstrate the superiority of DiffMAC over state-of-the-art methods, with a high degree of generalization in real-world and heterogeneous settings.
no code implementations • 23 Mar 2023 • Nan Gao, Zeyu Zhao, Zhi Zeng, Shuwu Zhang, Dongdong Weng
Gesture synthesis has gained significant attention as a critical research area, focusing on producing contextually appropriate and natural gestures corresponding to speech or textual input.
no code implementations • 9 Nov 2021 • Shang Li, GuiXuan Zhang, Zhengxiong Luo, Jie Liu, Zhi Zeng, Shuwu Zhang
In this paper, instead of directly applying the LR guidance, we propose an additional invertible flow guidance module (FGM), which can transform the downscaled representation to the visually plausible image during downscaling and transform it back during upscaling.
no code implementations • 6 Jul 2021 • Shang Li, GuiXuan Zhang, Zhengxiong Luo, Jie Liu, Zhi Zeng, Shuwu Zhang
As a result, most previous methods may suffer a performance drop when the degradations of test images are unknown and various (i. e. the case of blind SR).
no code implementations • 18 Nov 2019 • XiaoQian Li, Jie Liu, Shuwu Zhang, GuiXuan Zhang
At present, multi-oriented text detection methods based on deep neural network have achieved promising performances on various benchmarks.