2 citations · 3 across the 8 of their papers we have counts for
4 papers · 1 filter
Semantic Segmentation Prior for Diffusion-Based Real-World Super-Resolution
Jiahua Xiao, Jiawei Zhang, Dongqing Zou +3
Real-world image super-resolution (Real-ISR) has achieved a remarkable leap by leveraging large-scale text-to-image models, enabling realistic image restoration from given recognit…
Drift to Remember
Jin Du, Xinhe Zhang, Hao Shen +7
Lifelong learning in artificial intelligence (AI) aims to mimic the biological brain's ability to continuously learn and retain knowledge, yet it faces challenges such as catastrop…
DiffRetouch: Using Diffusion to Retouch on the Shoulder of Experts
Zheng-Peng Duan, Jiawei zhang, Zheng Lin +4
Image retouching aims to enhance the visual quality of photos. Considering the different aesthetic preferences of users, the target of retouching is subjective. However, current re…
VersaT2I: Improving Text-to-Image Models with Versatile Reward
Jianshu Guo, Wenhao Chai, Jie Deng +6
Recent text-to-image (T2I) models have benefited from large-scale and high-quality data, demonstrating impressive performance. However, these T2I models still struggle to produce i…