2 citations · 3 across the 9 of their papers we have counts for
5 papers · 1 filter
LuSh-NeRF: Lighting up and Sharpening NeRFs for Low-light Scenes
Zefan Qu, Ke Xu, Gerhard Petrus Hancke +1
Neural Radiance Fields (NeRFs) have shown remarkable performances in producing novel-view images from high-quality scene images. However, hand-held low-light photography challenges…
Boosting Weakly-Supervised Referring Image Segmentation via Progressive Comprehension
Zaiquan Yang, Yuhao Liu, Jiaying Lin +2
This paper explores the weakly-supervised referring image segmentation (WRIS) problem, and focuses on a challenging setup where target localization is learned directly from image-t…
Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion
Zhenwei Wang, Tengfei Wang, Zexin He +3
In 3D modeling, designers often use an existing 3D model as a reference to create new ones. This practice has inspired the development of Phidias, a novel generative model that use…
Color Shift Estimation-and-Correction for Image Enhancement
Yiyu Li, Ke Xu, Gerhard Petrus Hancke +1
Images captured under sub-optimal illumination conditions may contain both over- and under-exposures. Current approaches mainly focus on adjusting image brightness, which may exace…
ThemeStation: Generating Theme-Aware 3D Assets from Few Exemplars
Zhenwei Wang, Tengfei Wang, Gerhard Hancke +2
Real-world applications often require a large gallery of 3D assets that share a consistent theme. While remarkable advances have been made in general 3D content creation from text…