373 citations · 1.3k across the 66 of their papers we have counts for
13 papers · 1 filter
Visual Style Prompt Learning Using Diffusion Models for Blind Face Restoration
Wanglong Lu, Jikai Wang, Tao Wang +3
Blind face restoration aims to recover high-quality facial images from various unidentified sources of degradation, posing significant challenges due to the minimal information ret…
All-in-one Weather-degraded Image Restoration via Adaptive Degradation-aware Self-prompting Model
Yuanbo Wen, Tao Gao, Ziqi Li +3
Existing approaches for all-in-one weather-degraded image restoration suffer from inefficiencies in leveraging degradation-aware priors, resulting in sub-optimal performance in ada…
LLDif: Diffusion Models for Low-light Emotion Recognition
Zhifeng Wang, Kaihao Zhang, Ramesh Sankaranarayana
This paper introduces LLDif, a novel diffusion-based facial expression recognition (FER) framework tailored for extremely low-light (LL) environments. Images captured under such co…
Towards Multiple Character Image Animation Through Enhancing Implicit Decoupling
Jingyun Xue, Hongfa Wang, Qi Tian +10
Controllable character image animation has a wide range of applications. Although existing studies have consistently improved performance, challenges persist in the field of charac…
Authentic Emotion Mapping: Benchmarking Facial Expressions in Real News
Qixuan Zhang, Zhifeng Wang, Yang Liu +4
In this paper, we present a novel benchmark for Emotion Recognition using facial landmarks extracted from realistic news videos. Traditional methods relying on RGB images are resou…
Homography Guided Temporal Fusion for Road Line and Marking Segmentation
Shan Wang, Chuong Nguyen, Jiawei Liu +6
Reliable segmentation of road lines and markings is critical to autonomous driving. Our work is motivated by the observations that road lines and markings are (1) frequently occlud…
OMG: Occlusion-friendly Personalized Multi-concept Generation in Diffusion Models
Zhe Kong, Yong Zhang, Tianyu Yang +6
Personalization is an important topic in text-to-image generation, especially the challenging multi-concept personalization. Current multi-concept methods are struggling with ident…
AS-FIBA: Adaptive Selective Frequency-Injection for Backdoor Attack on Deep Face Restoration
Zhenbo Song, Wenhao Gao, Zhenyuan Zhang +1
Deep learning-based face restoration models, increasingly prevalent in smart devices, have become targets for sophisticated backdoor attacks. These attacks, through subtle trigger…
Segmentation Guided Sparse Transformer for Under-Display Camera Image Restoration
Jingyun Xue, Tao Wang, Pengwen Dai +1
Under-Display Camera (UDC) is an emerging technology that achieves full-screen display via hiding the camera under the display panel. However, the current implementation of UDC cau…
Adversarial Purification and Fine-tuning for Robust UDC Image Restoration
Zhenbo Song, Zhenyuan Zhang, Kaihao Zhang +2
This study delves into the enhancement of Under-Display Camera (UDC) image restoration models, focusing on their robustness against adversarial attacks. Despite its innovative appr…
PromptRR: Diffusion Models as Prompt Generators for Single Image Reflection Removal
Tao Wang, Wanglong Lu, Kaihao Zhang +2
Existing single image reflection removal (SIRR) methods using deep learning tend to miss key low-frequency (LF) and high-frequency (HF) differences in images, affecting their effec…
LRDif: Diffusion Models for Under-Display Camera Emotion Recognition
Zhifeng Wang, Kaihao Zhang, Ramesh Sankaranarayana
This study introduces LRDif, a novel diffusion-based framework designed specifically for facial expression recognition (FER) within the context of under-display cameras (UDC). To a…
Dual Teacher Knowledge Distillation with Domain Alignment for Face Anti-spoofing
Zhe Kong, Wentian Zhang, Tao Wang +4
Face recognition systems have raised concerns due to their vulnerability to different presentation attacks, and system security has become an increasingly critical concern. Althoug…