1 code implementation • 21 Dec 2023 • Xianfang Zeng, Xin Chen, Zhongqi Qi, Wen Liu, Zibo Zhao, Zhibin Wang, Bin Fu, Yong liu, Gang Yu
This paper presents Paint3D, a novel coarse-to-fine generative framework that is capable of producing high-resolution, lighting-less, and diverse 2K UV texture maps for untextured 3D meshes conditioned on text or image inputs.
1 code implementation • NeurIPS 2023 • Zibo Zhao, Wen Liu, Xin Chen, Xianfang Zeng, Rui Wang, Pei Cheng, Bin Fu, Tao Chen, Gang Yu, Shenghua Gao
We present a novel alignment-before-generation approach to tackle the challenging task of generating general 3D shapes based on 2D images or texts.
no code implementations • 20 Dec 2021 • Xianfang Zeng, Jiangning Zhang, Liang Liu, Guangzhong Tian, Yong liu
To tackle this problem, we propose a novel domain-adaptive degradation network for face super-resolution in the wild.
1 code implementation • 25 Oct 2020 • Jiangning Zhang, Xianfang Zeng, Chao Xu, Jun Chen, Yong liu, Yunliang Jiang
Audio-guided face reenactment aims to generate a photorealistic face that has matched facial expression with the input audio.
1 code implementation • 26 Aug 2020 • Xin Kong, Xuemeng Yang, Guangyao Zhai, Xiangrui Zhao, Xianfang Zeng, Mengmeng Wang, Yong liu, Wanlong Li, Feng Wen
First, we propose a novel semantic graph representation for the point cloud scenes by reserving the semantic and topological information of the raw point cloud.
1 code implementation • 6 Apr 2020 • Jun Chen, Liang Liu, Yong liu, Xianfang Zeng
Furthermore, we also design a shift vector processing element (SVPE) array to replace all 16-bit multiplications with SHIFT operations in convolution operation on FPGAs.
no code implementations • 29 Mar 2020 • Xianfang Zeng, Yusu Pan, Mengmeng Wang, Jiangning Zhang, Yong liu
On the one hand, we adopt the deforming autoencoder to disentangle identity and pose representations.
1 code implementation • CVPR 2020 • Jiangning Zhang, Xianfang Zeng, Mengmeng Wang, Yusu Pan, Liang Liu, Yong liu, Yu Ding, Changjie Fan
This paper presents a novel multi-identity face reenactment framework, named FReeNet, to transfer facial expressions from an arbitrary source face to a target face with a shared model.