9 papers
RASR: Retrieval-Augmented Super Resolution for Practical Reference-based Image Restoration
Jiaqi Yan, Shuning Xu, Xiangyu Chen +5
Reference-based Super Resolution (RefSR) improves upon Single Image Super Resolution (SISR) by leveraging high-quality reference images to enhance texture fidelity and visual reali…
Towards Practical Real-Time Low-Latency Music Source Separation
Junyu Wu, Jie Liu, Tianrui Pan +2
In recent years, significant progress has been made in the field of deep learning for music demixing. However, there has been limited attention on real-time, low-latency music demi…
In-the-wild Audio Spatialization with Flexible Text-guided Localization
Tianrui Pan, Jie Liu, Zewen Huang +2
To enhance immersive experiences, binaural audio offers spatial awareness of sounding objects in AR, VR, and embodied AI applications. While existing audio spatialization methods c…
AnomalyR1: A GRPO-based End-to-end MLLM for Industrial Anomaly Detection
Yuhao Chao, Jie Liu, Jie Tang +1
Industrial Anomaly Detection (IAD) poses a formidable challenge due to the scarcity of defective samples, making it imperative to deploy models capable of robust generalization to…
RASA: Replace Anyone, Say Anything -- A Training-Free Framework for Audio-Driven and Universal Portrait Video Editing
Tianrui Pan, Lin Liu, Jie Liu +4
Portrait video editing focuses on modifying specific attributes of portrait videos, guided by audio or video streams. Previous methods typically either concentrate on lip-region re…
CATANet: Efficient Content-Aware Token Aggregation for Lightweight Image Super-Resolution
Xin Liu, Jie Liu, Jie Tang +1
Transformer-based methods have demonstrated impressive performance in low-level visual tasks such as Image Super-Resolution (SR). However, its computational complexity grows quadra…