3 papers
cs.LG2026
Revisiting Positive Samples in Graph Contrastive Learning: From the Perspective of Message Passing
Lianze Shan, Ningchong Wang, Jitao Zhao +2
Graph Contrastive Learning (GCL), which trains graph encoders by maximizing similarity between positive samples and minimizing it between negative ones, has emerged as a mainstream…
cs.CV2026
Enhancing Image Aesthetics with Dual-Conditioned Diffusion Models Guided by Multimodal Perception
Xinyu Nan, Ning Wang, Yuyao Zhai +1
Image aesthetic enhancement aims to perceive aesthetic deficiencies in images and perform corresponding editing operations, which is highly challenging and requires the model to po…
cs.CV2024
Inv-Adapter: ID Customization Generation via Image Inversion and Lightweight Adapter
Peng Xing, Ning Wang, Jianbo Ouyang +1
The remarkable advancement in text-to-image generation models significantly boosts the research in ID customization generation. However, existing personalization methods cannot sim…