1 code implementation • 25 Nov 2022 • Zihao Li, CHUNHUA WU, Shenglin Wu, Wenbo Wan, Yuhao Wang, Qiegen Liu
To better apply the score-based generative model to learn the internal statistical distribution within patches, the large-scale Hankel matrices are finally folded into the higher dimensional tensors for prior learning.
1 code implementation • 14 Aug 2021 • Kai Hong, CHUNHUA WU, Cailian Yang, Minghui Zhang, Yancheng Lu, Yuhao Wang, Qiegen Liu
This work presents an unsupervised deep learning scheme that exploiting high-dimensional assisted score-based generative model for color image restoration tasks.
no code implementations • 18 Feb 2020 • QINGBIAO LI, CHUNHUA WU, KangFeng Zheng
What's more, there is no an effective way to use a lexicon in a neural network.
no code implementations • 18 Feb 2020 • QingBiao Li, CHUNHUA WU, KangFeng Zheng, Zhe Wang
To address these problems, we propose a hierarchical transformer framework (apart from the description of other studies, the "transformer" in this paper usually refers to the encoder part of the transformer) with a lower-level transformer to model the word-level input and an upper-level transformer to capture the context of utterance-level embeddings.
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