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cs.CV2025
DGGAN: Degradation Guided Generative Adversarial Network for Real-time Endoscopic Video Enhancement
Handing Xu, Zhenguo Nie, Tairan Peng +2
Endoscopic surgery relies on intraoperative video, making image quality a decisive factor for surgical safety and efficacy. Yet, endoscopic videos are often degraded by uneven illu…
cs.CV2025
Rethinking Rotation-Invariant Recognition of Fine-grained Shapes from the Perspective of Contour Points
Yanjie Xu, Handing Xu, Tianmu Wang +3
Rotation-invariant recognition of shapes is a common challenge in computer vision. Recent approaches have significantly improved the accuracy of rotation-invariant recognition by e…
cs.CV2023★ 1 cited
UNeR3D: Versatile and Scalable 3D RGB Point Cloud Generation from 2D Images in Unsupervised Reconstruction
Hongbin Lin, Juangui Xu, Qingfeng Xu +5
In the realm of 3D reconstruction from 2D images, a persisting challenge is to achieve high-precision reconstructions devoid of 3D Ground Truth data reliance. We present UNeR3D, a…