71 citations · 280 across the 25 of their papers we have counts for
4 papers · 1 filter
Identity-preserving Face Recovery from Stylized Portraits
Fatemeh Shiri, Xin Yu, Fatih Porikli +2
Given an artistic portrait, recovering the latent photorealistic face that preserves the subject's identity is challenging because the facial details are often distorted or fully l…
Recovering Faces from Portraits with Auxiliary Facial Attributes
Fatemeh Shiri, Xin Yu, Fatih Porikli +2
Recovering a photorealistic face from an artistic portrait is a challenging task since crucial facial details are often distorted or completely lost in artistic compositions. To ha…
Few-Shot Learning via Saliency-guided Hallucination of Samples
Hongguang Zhang, Jing Zhang, Piotr Koniusz
Learning new concepts from a few of samples is a standard challenge in computer vision. The main directions to improve the learning ability of few-shot training models include (i)…
Deep Stacked Hierarchical Multi-patch Network for Image Deblurring
Hongguang Zhang, Yuchao Dai, Hongdong Li +1
Despite deep end-to-end learning methods have shown their superiority in removing non-uniform motion blur, there still exist major challenges with the current multi-scale and scale…