31 citations · 78 across the 10 of their papers we have counts for
10 papers
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…
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…
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…
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…
Few-Shot Learning with Visual Distribution Calibration and Cross-Modal Distribution Alignment
Runqi Wang, Hao Zheng, Xiaoyue Duan +5
Pre-trained vision-language models have inspired much research on few-shot learning. However, with only a few training images, there exist two crucial problems: (1) the visual feat…
AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning
Runqi Wang, Xiaoyue Duan, Guoliang Kang +5
Continual learning aims to enable a model to incrementally learn knowledge from sequentially arrived data. Previous works adopt the conventional classification architecture, which…
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…
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…
Multiple instance active learning for object detection
Tianning Yuan, Fang Wan, Mengying Fu +4
Despite the substantial progress of active learning for image recognition, there still lacks an instance-level active learning method specified for object detection. In this paper,…
Generating Diverse Structure for Image Inpainting With Hierarchical VQ-VAE
Jialun Peng, Dong Liu, Songcen Xu +1
Given an incomplete image without additional constraint, image inpainting natively allows for multiple solutions as long as they appear plausible. Recently, multiplesolution inpain…