3 papers
cs.CV2025
DenoiseGS: Gaussian Reconstruction Model for Burst Denoising
Yongsen Cheng, Yuanhao Cai, Yulun Zhang
Burst denoising methods are crucial for enhancing images captured on handheld devices, but they often struggle with large motion or suffer from prohibitive computational costs. In…
cs.CV2025
Measurement-Constrained Sampling for Text-Prompted Blind Face Restoration
Wenjie Li, Yulun Zhang, Guangwei Gao +2
Blind face restoration (BFR) may correspond to multiple plausible high-quality (HQ) reconstructions under extremely low-quality (LQ) inputs. However, existing methods typically pro…
cs.CV2025
DnLUT: Ultra-Efficient Color Image Denoising via Channel-Aware Lookup Tables
Sidi Yang, Binxiao Huang, Yulun Zhang +3
While deep neural networks have revolutionized image denoising capabilities, their deployment on edge devices remains challenging due to substantial computational and memory requir…