9 citations · 19 across the 6 of their papers we have counts for
7 papers
The Second Challenge on Real-World Face Restoration at NTIRE 2026: Methods and Results
Jingkai Wang, Jue Gong, Zheng Chen +50
This paper provides a review of the NTIRE 2026 challenge on real-world face restoration, highlighting the proposed solutions and the resulting outcomes. The challenge focuses on ge…
Word length-aware text spotting: Enhancing detection and recognition in dense text image
Hao Wang, Huabing Zhou, Yanduo Zhang +2
Scene text spotting is essential in various computer vision applications, enabling extracting and interpreting textual information from images. However, existing methods often negl…
TANet: A new Paradigm for Global Face Super-resolution via Transformer-CNN Aggregation Network
Yuanzhi Wang, Tao Lu, Yanduo Zhang +4
Recently, face super-resolution (FSR) methods either feed whole face image into convolutional neural networks (CNNs) or utilize extra facial priors (e.g., facial parsing maps, faci…
NTIRE 2021 Depth Guided Image Relighting Challenge
Majed El Helou, Ruofan Zhou, Sabine Susstrunk +1
Image relighting is attracting increasing interest due to its various applications. From a research perspective, image relighting can be exploited to conduct both image normalizati…
Multi-scale Self-calibrated Network for Image Light Source Transfer
Yuanzhi Wang, Tao Lu, Yanduo Zhang +1
Image light source transfer (LLST), as the most challenging task in the domain of image relighting, has attracted extensive attention in recent years. In the latest research, LLST…
Face Hallucination via Split-Attention in Split-Attention Network
Tao Lu, Yuanzhi Wang, Yanduo Zhang +4
Recently, convolutional neural networks (CNNs) have been widely employed to promote the face hallucination due to the ability to predict high-frequency details from a large number…
Feature-Driven Super-Resolution for Object Detection
Bin Wang, Tao Lu, Yanduo Zhang
Although some convolutional neural networks (CNNs) based super-resolution (SR) algorithms yield good visual performances on single images recently. Most of them focus on perfect pe…