1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2025
SimuFreeMark: A Noise-Simulation-Free Robust Watermarking Against Image Editing
Yichao Tang, Mingyang Li, Di Miao +3
The advancement of artificial intelligence generated content (AIGC) has created a pressing need for robust image watermarking that can withstand both conventional signal processing…
cs.CV2025
Exploring Semantic Feature Discrimination for Perceptual Image Super-Resolution and Opinion-Unaware No-Reference Image Quality Assessment
Guanglu Dong, Xiangyu Liao, Mingyang Li +2
Generative Adversarial Networks (GANs) have been widely applied to image super-resolution (SR) to enhance the perceptual quality. However, most existing GAN-based SR methods typica…
cs.CV2023★ 1 cited
Closed-Loop Transcription via Convolutional Sparse Coding
Xili Dai, Ke Chen, Shengbang Tong +9
Autoencoding has achieved great empirical success as a framework for learning generative models for natural images. Autoencoders often use generic deep networks as the encoder or d…