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cs.CV2026
HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models
Yu Xue, Haoxuan Qu, Zhuoling Li +5
Training-free text-to-high-resolution image generation has recently attracted growing research attention. However, existing studies on this task primarily focus on adapting off-the…
cs.CV2022
HDAM: Heuristic Difference Attention Module for Convolutional Neural Networks
Yu Xue, Ziming Yuan
The attention mechanism is one of the most important priori knowledge to enhance convolutional neural networks. Most attention mechanisms are bound to the convolutional layer and u…
cs.CV2021
ConAM: Confidence Attention Module for Convolutional Neural Networks
Yu Xue, Ziming Yuan, Ferrante Neri
The so-called "attention" is an efficient mechanism to improve the performance of convolutional neural networks. It uses contextual information to recalibrate the input to strength…