Search Results for author: Yonggui Zhu

Found 7 papers, 4 papers with code

VarGes: Improving Variation in Co-Speech 3D Gesture Generation via StyleCLIPS

1 code implementation15 Feb 2025 Ming Meng, Ke Mu, Yonggui Zhu, Zhe Zhu, Haoyu Sun, Heyang Yan, Zhaoxin Fan

Generating expressive and diverse human gestures from audio is crucial in fields like human-computer interaction, virtual reality, and animation.

3D Human Pose Estimation Diversity +1

A Comprehensive Taxonomy and Analysis of Talking Head Synthesis: Techniques for Portrait Generation, Driving Mechanisms, and Editing

no code implementations15 Jun 2024 Ming Meng, Yufei Zhao, Bo Zhang, Yonggui Zhu, Weimin Shi, Maxwell Wen, Zhaoxin Fan

Talking head synthesis, an advanced method for generating portrait videos from a still image driven by specific content, has garnered widespread attention in virtual reality, augmented reality and game production.

A Lightweight Recurrent Grouping Attention Network for Video Super-Resolution

1 code implementation25 Sep 2023 Yonggui Zhu, Guofang Li

We design forward feature extraction module and backward feature extraction module to collect temporal information between consecutive frames from two directions.

Video Super-Resolution

Considering Image Information and Self-similarity: A Compositional Denoising Network

1 code implementation14 Sep 2022 Jiahong Zhang, Yonggui Zhu, Wenshu Yu, Jingning Ma

Finally, image information and noise distribution information will be comprehensively considered for image denoising.

Image Denoising Noise Estimation

A Novel Dual Dense Connection Network for Video Super-resolution

no code implementations5 Mar 2022 Guofang Li, Yonggui Zhu

Video super-resolution (VSR) refers to the reconstruction of high-resolution (HR) video from the corresponding low-resolution (LR) video.

Video Super-Resolution

Spherical function regularization for parallel MRI reconstruction

no code implementations MIDL 2019 Yonggui Zhu

From the optimization point of view, a difficulty with parallel MRI with simultaneous coil sensitivity estimation is the multiplicative nature of the non-linear forward operator: the image being reconstructed and the coil sensitivities compete against each other, causing the optimization process to be very sensitive to small perturbations.

MRI Reconstruction

Resampling detection of recompressed images via dual-stream convolutional neural network

1 code implementation15 Jan 2019 Gang Cao, Antao Zhou, Xianglin Huang, Gege Song, Lifang Yang, Yonggui Zhu

Resampling detection plays an important role in identifying image tampering, such as image splicing.

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