Search Results for author: Xuhui Liu

Found 6 papers, 3 papers with code

Controllable Mind Visual Diffusion Model

no code implementations17 May 2023 Bohan Zeng, Shanglin Li, Xuhui Liu, Sicheng Gao, XiaoLong Jiang, Xu Tang, Yao Hu, Jianzhuang Liu, Baochang Zhang

Brain signal visualization has emerged as an active research area, serving as a critical interface between the human visual system and computer vision models.

Image Generation

Implicit Diffusion Models for Continuous Super-Resolution

1 code implementation CVPR 2023 Sicheng Gao, Xuhui Liu, Bohan Zeng, Sheng Xu, Yanjing Li, Xiaoyan Luo, Jianzhuang Liu, XianTong Zhen, Baochang Zhang

IDM integrates an implicit neural representation and a denoising diffusion model in a unified end-to-end framework, where the implicit neural representation is adopted in the decoding process to learn continuous-resolution representation.

Denoising Image Super-Resolution

FNeVR: Neural Volume Rendering for Face Animation

1 code implementation21 Sep 2022 Bohan Zeng, Boyu Liu, Hong Li, Xuhui Liu, Jianzhuang Liu, Dapeng Chen, Wei Peng, Baochang Zhang

In FNeVR, we design a 3D Face Volume Rendering (FVR) module to enhance the facial details for image rendering.

Talking Face Generation

NAS-Count: Counting-by-Density with Neural Architecture Search

no code implementations ECCV 2020 Yutao Hu, Xiao-Long Jiang, Xuhui Liu, Baochang Zhang, Jungong Han, Xian-Bin Cao, David Doermann

Most of the recent advances in crowd counting have evolved from hand-designed density estimation networks, where multi-scale features are leveraged to address the scale variation problem, but at the expense of demanding design efforts.

Crowd Counting Density Estimation +1

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