45 citations · 67 across the 8 of their papers we have counts for
6 papers · 1 filter
PFB-Diff: Progressive Feature Blending Diffusion for Text-driven Image Editing
Wenjing Huang, Shikui Tu, Lei Xu
Diffusion models have demonstrated their ability to generate diverse and high-quality images, sparking considerable interest in their potential for real image editing applications.…
Linking Sketch Patches by Learning Synonymous Proximity for Graphic Sketch Representation
Sicong Zang, Shikui Tu, Lei Xu
Graphic sketch representations are effective for representing sketches. Existing methods take the patches cropped from sketches as the graph nodes, and construct the edges based on…
IA-FaceS: A Bidirectional Method for Semantic Face Editing
Wenjing Huang, Shikui Tu, Lei Xu
Semantic face editing has achieved substantial progress in recent years. Known as a growingly popular method, latent space manipulation performs face editing by changing the latent…
Deep Rival Penalized Competitive Learning for Low-resolution Face Recognition
Peiying Li, Shikui Tu, Lei Xu
Current face recognition tasks are usually carried out on high-quality face images, but in reality, most face images are captured under unconstrained or poor conditions, e.g., by v…
Computational Decomposition of Style for Controllable and Enhanced Style Transfer
Minchao Li, Shikui Tu, Lei Xu
Neural style transfer has been demonstrated to be powerful in creating artistic image with help of Convolutional Neural Networks (CNN). However, there is still lack of computationa…
Sketch-pix2seq: a Model to Generate Sketches of Multiple Categories
Yajing Chen, Shikui Tu, Yuqi Yi +1
Sketch is an important media for human to communicate ideas, which reflects the superiority of human intelligence. Studies on sketch can be roughly summarized into recognition and…