Search Results for author: Zhi Zeng

Found 10 papers, 0 papers with code

DiffMAC: Diffusion Manifold Hallucination Correction for High Generalization Blind Face Restoration

no code implementations15 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.

Attribute Blind Face Restoration +1

GesGPT: Speech Gesture Synthesis With Text Parsing from GPT

no code implementations23 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.

Gesture Generation

Neural Copula: A unified framework for estimating generic high-dimensional Copula functions

no code implementations23 May 2022 Zhi Zeng, Ting Wang

In this method, a hierarchical unsupervised neural network is constructed to estimate the marginal distribution function and the Copula function by solving differential equations.

Physics-informed ConvNet: Learning Physical Field from a Shallow Neural Network

no code implementations26 Jan 2022 Pengpeng Shi, Zhi Zeng, Tianshou Liang

Different from "deep" fully-connected neural networks embedded with physical information (PINN), a novel shallow framework named physics-informed convolutional network (PICN) is recommended from a CNN perspective, in which the physical field is generated by a deconvolution layer and a single convolution layer.

Physics-informed machine learning

Approaching the Limit of Image Rescaling via Flow Guidance

no code implementations9 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.

From General to Specific: Online Updating for Blind Super-Resolution

no code implementations6 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).

Blind Super-Resolution Super-Resolution

Parallel frequency function-deep neural network for efficient complex broadband signal approximation

no code implementations19 Jun 2021 Zhi Zeng, Pengpeng Shi, Fulei Ma, Peihan Qi

Here, a parallel frequency function-deep neural network (PFF-DNN) is proposed to suppress computational overhead while ensuring fitting accuracy by utilizing fast Fourier analysis of broadband signals and the spectral bias nature of neural networks.

Noise Is Useful: Exploiting Data Diversity for Edge Intelligence

no code implementations14 Jan 2021 Zhi Zeng, YuAn Liu, Weijun Tang, Fangjiong Chen

Edge intelligence requires to fast access distributed data samples generated by edge devices.

Information Theory Information Theory

Preliminary Design of a FADC Readout System for the Alpha/Beta Discrimination in a Large Area Plastic Scintillation Detector

no code implementations27 Oct 2020 Jingjun Wen, Daowei Dou, Jinfu Zhu, Zhi Zeng, Tao Xue, Jianmin Li, Junli Li, Yinong Liu

This paper describes a FADC Readout system developed for the tap water $\alpha/\beta$ dose monitoring system which is based on EJ444 phoswich scintillation detector and wavelength shifting fiber readout.

Instrumentation and Detectors

A marine radioisotope gamma-ray spectrum analysis method based on Monte Carlo simulation and MLP neural network

no code implementations24 Oct 2020 Wenhan Dai, Zhi Zeng, Daowei Dou, Hao Ma, Jianping Chen, Junli Li, HUI ZHANG

We apply multilayer perceptron (MLP) to analyze the 662 keV full energy peak of Cs-137 in the seawater spectrum.

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