46 citations · 108 across the 15 of their papers we have counts for
16 papers
2D Gaussian Splatting with Semantic Alignment for Image Inpainting
Hongyu Li, Chaofeng Chen, Xiaoming Li +1
Gaussian Splatting (GS), a recent technique for converting discrete points into continuous spatial representations, has shown promising results in 3D scene modeling and 2D image su…
REHRSeg: Unleashing the Power of Self-Supervised Super-Resolution for Resource-Efficient 3D MRI Segmentation
Zhiyun Song, Yinjie Zhao, Xiaomin Li +9
High-resolution (HR) 3D magnetic resonance imaging (MRI) can provide detailed anatomical structural information, enabling precise segmentation of regions of interest for various me…
MetaF2N: Blind Image Super-Resolution by Learning Efficient Model Adaptation from Faces
Zhicun Yin, Ming Liu, Xiaoming Li +3
Due to their highly structured characteristics, faces are easier to recover than natural scenes for blind image super-resolution. Therefore, we can extract the degradation represen…
Ref-Diff: Zero-shot Referring Image Segmentation with Generative Models
Minheng Ni, Yabo Zhang, Kailai Feng +3
Zero-shot referring image segmentation is a challenging task because it aims to find an instance segmentation mask based on the given referring descriptions, without training on th…
VQ-Font: Few-Shot Font Generation with Structure-Aware Enhancement and Quantization
Mingshuai Yao, Yabo Zhang, Xianhui Lin +2
Few-shot font generation is challenging, as it needs to capture the fine-grained stroke styles from a limited set of reference glyphs, and then transfer to other characters, which…
Learning Generative Structure Prior for Blind Text Image Super-resolution
Xiaoming Li, Wangmeng Zuo, Chen Change Loy
Blind text image super-resolution (SR) is challenging as one needs to cope with diverse font styles and unknown degradation. To address the problem, existing methods perform charac…
Semantic-shape Adaptive Feature Modulation for Semantic Image Synthesis
Zhengyao Lv, Xiaoming Li, Zhenxing Niu +2
Recent years have witnessed substantial progress in semantic image synthesis, it is still challenging in synthesizing photo-realistic images with rich details. Most previous method…
Real-World Blind Super-Resolution via Feature Matching with Implicit High-Resolution Priors
Chaofeng Chen, Xinyu Shi, Yipeng Qin +4
A key challenge of real-world image super-resolution (SR) is to recover the missing details in low-resolution (LR) images with complex unknown degradations (e.g., downsampling, noi…
Learning Semantic Person Image Generation by Region-Adaptive Normalization
Zhengyao Lv, Xiaoming Li, Xin Li +4
Human pose transfer has received great attention due to its wide applications, yet is still a challenging task that is not well solved. Recent works have achieved great success to…
Progressive Semantic-Aware Style Transformation for Blind Face Restoration
Chaofeng Chen, Xiaoming Li, Lingbo Yang +3
Face restoration is important in face image processing, and has been widely studied in recent years. However, previous works often fail to generate plausible high quality (HQ) resu…
Blind Face Restoration via Deep Multi-scale Component Dictionaries
Xiaoming Li, Chaofeng Chen, Shangchen Zhou +3
Recent reference-based face restoration methods have received considerable attention due to their great capability in recovering high-frequency details on real low-quality images.…
Face Super-Resolution Guided by 3D Facial Priors
Xiaobin Hu, Wenqi Ren, John LaMaster +5
State-of-the-art face super-resolution methods employ deep convolutional neural networks to learn a mapping between low- and high- resolution facial patterns by exploring local app…
Learning Symmetry Consistent Deep CNNs for Face Completion
Xiaoming Li, Ming Liu, Jieru Zhu +4
Deep convolutional networks (CNNs) have achieved great success in face completion to generate plausible facial structures. These methods, however, are limited in maintaining global…
Identity Preserving Face Completion for Large Ocular Region Occlusion
Yajie Zhao, Weikai Chen, Jun Xing +5
We present a novel deep learning approach to synthesize complete face images in the presence of large ocular region occlusions. This is motivated by recent surge of VR/AR displays…
Learning Warped Guidance for Blind Face Restoration
Xiaoming Li, Ming Liu, Yuting Ye +3
This paper studies the problem of blind face restoration from an unconstrained blurry, noisy, low-resolution, or compressed image (i.e., degraded observation). For better recovery…
Shift-Net: Image Inpainting via Deep Feature Rearrangement
Zhaoyi Yan, Xiaoming Li, Mu Li +2
Deep convolutional networks (CNNs) have exhibited their potential in image inpainting for producing plausible results. However, in most existing methods, e.g., context encoder, the…