1 citations · 1 across the 5 of their papers we have counts for
5 papers
Time-variant Image Inpainting via Interactive Distribution Transition Estimation
Yun Xing, Qing Guo, Xiaoguang Li +5
In this work, we focus on a novel and practical task, i.e., Time-vAriant iMage inPainting (TAMP). The aim of TAMP is to restore a damaged target image by leveraging the complementa…
DPSeg: Dual-Prompt Cost Volume Learning for Open-Vocabulary Semantic Segmentation
Ziyu Zhao, Xiaoguang Li, Linjia Shi +2
Open-vocabulary semantic segmentation aims to segment images into distinct semantic regions for both seen and unseen categories at the pixel level. Current methods utilize text emb…
Leveraging Adaptive Implicit Representation Mapping for Ultra High-Resolution Image Segmentation
Ziyu Zhao, Xiaoguang Li, Pingping Cai +2
Implicit representation mapping (IRM) can translate image features to any continuous resolution, showcasing its potent capability for ultra-high-resolution image segmentation refin…
CLII: Visual-Text Inpainting via Cross-Modal Predictive Interaction
Liang Zhao, Qing Guo, Xiaoguang Li +1
Image inpainting aims to fill missing pixels in damaged images and has achieved significant progress with cut-edging learning techniques. Nevertheless, state-of-the-art inpainting…
SAIR: Learning Semantic-aware Implicit Representation
Canyu Zhang, Xiaoguang Li, Qing Guo +1
Implicit representation of an image can map arbitrary coordinates in the continuous domain to their corresponding color values, presenting a powerful capability for image reconstru…