8 citations · 20 across the 8 of their papers we have counts for
5 papers · 1 filter
Improved Noise Schedule for Diffusion Training
Tiankai Hang, Shuyang Gu, Xin Geng +1
Diffusion models have emerged as the de facto choice for generating high-quality visual signals across various domains. However, training a single model to predict noise across var…
NormAUG: Normalization-guided Augmentation for Domain Generalization
Lei Qi, Hongpeng Yang, Yinghuan Shi +1
Deep learning has made significant advancements in supervised learning. However, models trained in this setting often face challenges due to domain shift between training and test…
Learning Hierarchical Graph Representation for Image Manipulation Detection
Wenyan Pan, Zhili Zhou, Miaogen Ling +2
The objective of image manipulation detection is to identify and locate the manipulated regions in the images. Recent approaches mostly adopt the sophisticated Convolutional Neural…
A Context-and-Spatial Aware Network for Multi-Person Pose Estimation
Dongdong Yu, Kai Su, Xin Geng +1
Multi-person pose estimation is a fundamental yet challenging task in computer vision. Both rich context information and spatial information are required to precisely locate the ke…
Multi-Person Pose Estimation with Enhanced Channel-wise and Spatial Information
Kai Su, Dongdong Yu, Zhenqi Xu +2
Multi-person pose estimation is an important but challenging problem in computer vision. Although current approaches have achieved significant progress by fusing the multi-scale fe…