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cs.CV2026
End-to-End Joint Training of Super-Resolution and Compression Artifact Removal for Industrial Machine Vision
Dang BuiDinh, Sang NguyenQuang, Anh NguyenPhuong +2
In industrial machine vision, images captured by edge devices are often downsampled and compressed to reduce bandwidth, introducing resolution loss and compression artifacts that s…
cs.CV2026
Seeing What Matters: Perceptual Wrapper with Common Randomness for 3D Gaussian Splatting
He-Bi Yang, Jing-Zhong Chen, Yen-Kuan Ho +5
While 3D Gaussian Splatting (3DGS) achieves impressive real-time rendering, it frequently struggles to synthesize high-frequency textures, a limitation heavily exacerbated in memor…