activity
20212023
most citedThe DiffuseStyleGesture+ entry to the GENEA Challenge 2023

31 citations · 72 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2023

Any-Size-Diffusion: Toward Efficient Text-Driven Synthesis for Any-Size HD Images

Qingping Zheng, Yuanfan Guo, Jiankang Deng +4

Stable diffusion, a generative model used in text-to-image synthesis, frequently encounters resolution-induced composition problems when generating images of varying sizes. This is…

cs.CV2023

Towards High-Fidelity Text-Guided 3D Face Generation and Manipulation Using only Images

Cuican Yu, Guansong Lu, Yihan Zeng +7

Generating 3D faces from textual descriptions has a multitude of applications, such as gaming, movie, and robotics. Recent progresses have demonstrated the success of unconditional…

cs.HC202331 cited

The DiffuseStyleGesture+ entry to the GENEA Challenge 2023

Sicheng Yang, Haiwei Xue, Zhensong Zhang +5

In this paper, we introduce the DiffuseStyleGesture+, our solution for the Generation and Evaluation of Non-verbal Behavior for Embodied Agents (GENEA) Challenge 2023, which aims t…

cs.CV2023

Low-Light Image Enhancement with Illumination-Aware Gamma Correction and Complete Image Modelling Network

Yinglong Wang, Zhen Liu, Jianzhuang Liu +2

This paper presents a novel network structure with illumination-aware gamma correction and complete image modelling to solve the low-light image enhancement problem. Low-light envi…

cs.CV202213 cited

CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation

Zhihao Li, Jianzhuang Liu, Zhensong Zhang +2

Top-down methods dominate the field of 3D human pose and shape estimation, because they are decoupled from human detection and allow researchers to focus on the core problem. Howev…

cs.CV202110 cited

Instance Segmentation in 3D Scenes using Semantic Superpoint Tree Networks

Zhihao Liang, Zhihao Li, Songcen Xu +2

Instance segmentation in 3D scenes is fundamental in many applications of scene understanding. It is yet challenging due to the compound factors of data irregularity and uncertaint…