163 citations · 184 across the 18 of their papers we have counts for
7 papers · 1 filter
DreamDistribution: Learning Prompt Distribution for Diverse In-distribution Generation
Brian Nlong Zhao, Yuhang Xiao, Jiashu Xu +6
The popularization of Text-to-Image (T2I) diffusion models enables the generation of high-quality images from text descriptions. However, generating diverse customized images with…
Unified Medical Image Pre-training in Language-Guided Common Semantic Space
Xiaoxuan He, Yifan Yang, Xinyang Jiang +6
Vision-Language Pre-training (VLP) has shown the merits of analysing medical images, by leveraging the semantic congruence between medical images and their corresponding reports. I…
Online Video Quality Enhancement with Spatial-Temporal Look-up Tables
Zefan Qu, Xinyang Jiang, Yifan Yang +2
Low latency rates are crucial for online video-based applications, such as video conferencing and cloud gaming, which make improving video quality in online scenarios increasingly…
ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation
Yasheng Sun, Yifan Yang, Houwen Peng +5
While language-guided image manipulation has made remarkable progress, the challenge of how to instruct the manipulation process faithfully reflecting human intentions persists. An…
Real-Time Neural Video Recovery and Enhancement on Mobile Devices
Zhaoyuan He, Yifan Yang, Lili Qiu +1
As mobile devices become increasingly popular for video streaming, it's crucial to optimize the streaming experience for these devices. Although deep learning-based video enhanceme…
Enabling Real-time Neural Recovery for Cloud Gaming on Mobile Devices
Zhaoyuan He, Yifan Yang, Shuozhe Li +3
Cloud gaming is a multi-billion dollar industry. A client in cloud gaming sends its movement to the game server on the Internet, which renders and transmits the resulting video bac…
Towards Inference Efficient Deep Ensemble Learning
Ziyue Li, Kan Ren, Yifan Yang +3
Ensemble methods can deliver surprising performance gains but also bring significantly higher computational costs, e.g., can be up to 2048X in large-scale ensemble tasks. However,…