232 citations · 1.4k across the 72 of their papers we have counts for
5 papers · 1 filter
RestoreFormer++: Towards Real-World Blind Face Restoration from Undegraded Key-Value Pairs
Zhouxia Wang, Jiawei Zhang, Tianshui Chen +2
Blind face restoration aims at recovering high-quality face images from those with unknown degradations. Current algorithms mainly introduce priors to complement high-quality detai…
Translational Concept Embedding for Generalized Compositional Zero-shot Learning
He Huang, Wei Tang, Jiawei Zhang +1
Generalized compositional zero-shot learning means to learn composed concepts of attribute-object pairs in a zero-shot fashion, where a model is trained on a set of seen concepts a…
Learning RAW-to-sRGB Mappings with Inaccurately Aligned Supervision
Zhilu Zhang, Haolin Wang, Ming Liu +3
Learning RAW-to-sRGB mapping has drawn increasing attention in recent years, wherein an input raw image is trained to imitate the target sRGB image captured by another camera. Howe…
AIM 2020 Challenge on Learned Image Signal Processing Pipeline
Andrey Ignatov, Radu Timofte, Zhilu Zhang +36
This paper reviews the second AIM learned ISP challenge and provides the description of the proposed solutions and results. The participating teams were solving a real-world RAW-to…
Cross-Scale Internal Graph Neural Network for Image Super-Resolution
Shangchen Zhou, Jiawei Zhang, Wangmeng Zuo +1
Non-local self-similarity in natural images has been well studied as an effective prior in image restoration. However, for single image super-resolution (SISR), most existing deep…