1 citations · 1 across the 4 of their papers we have counts for
4 papers
Are Conditional Latent Diffusion Models Effective for Image Restoration?
Yunchen Yuan, Junyuan Xiao, Xinjie Li
Recent advancements in image restoration increasingly employ conditional latent diffusion models (CLDMs). While these models have demonstrated notable performance improvements in r…
Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation
Xinjie Li, Yang Zhao, Dong Wang +3
Large-scale generative models have achieved remarkable advancements in various visual tasks, yet their application to shadow removal in images remains challenging. These models oft…
On the Sweet Spot of Contrastive Views for Knowledge-enhanced Recommendation
Haibo Ye, Xinjie Li, Yuan Yao +1
In recommender systems, knowledge graph (KG) can offer critical information that is lacking in the original user-item interaction graph (IG). Recent process has explored this direc…
SD-GAN: Semantic Decomposition for Face Image Synthesis with Discrete Attribute
Zhou Kangneng, Zhu Xiaobin, Gao Daiheng +3
Manipulating latent code in generative adversarial networks (GANs) for facial image synthesis mainly focuses on continuous attribute synthesis (e.g., age, pose and emotion), while…