1 citations · 3 across the 10 of their papers we have counts for
15 papers · 1 filter
SA-Homo: Scale Adaptive Homography Estimation for Scale Variation Scenarios
Shangxuan Xie, Haifeng Wu, Yuhang Wang +2
Homography estimation, as one of the fundamental problems in computer vision, remains challenged by scale variation scenarios where image pairs potentially exhibit significant scal…
The Devil is in Attention Sharing: Improving Complex Non-rigid Image Editing Faithfulness via Attention Synergy
Zhuo Chen, Fanyue Wei, Runze Xu +4
Training-free image editing with large diffusion models has become practical, yet faithfully performing complex non-rigid edits (e.g., pose or shape changes) remains highly challen…
OmniMotion-X: Versatile Multimodal Whole-Body Motion Generation
Guowei Xu, Yuxuan Bian, Ailing Zeng +6
This paper introduces OmniMotion-X, a versatile multimodal framework for whole-body human motion generation, leveraging an autoregressive diffusion transformer in a unified sequenc…
Balanced Sharpness-Aware Minimization for Imbalanced Regression
Yahao Liu, Qin Wang, Lixin Duan +1
Regression is fundamental in computer vision and is widely used in various tasks including age estimation, depth estimation, target localization, \etc However, real-world data ofte…
S-INF: Towards Realistic Indoor Scene Synthesis via Scene Implicit Neural Field
Zixi Liang, Guowei Xu, Haifeng Wu +3
Learning-based methods have become increasingly popular in 3D indoor scene synthesis (ISS), showing superior performance over traditional optimization-based approaches. These learn…
The Devil is in the Spurious Correlations: Boosting Moment Retrieval with Dynamic Learning
Xinyang Zhou, Fanyue Wei, Lixin Duan +2
Given a textual query along with a corresponding video, the objective of moment retrieval aims to localize the moments relevant to the query within the video. While commendable res…