3 papers
cs.CV2026
EDGE-Shield: Efficient Denoising-staGE Shield for Violative Content Filtering via Scalable Reference-Based Matching
Takara Taniguchi, Ryohei Shimizu, Duc Minh Vo +3
The advent of Text-to-Image generative models poses significant risks of copyright violation and deepfake generation. Since the rapid proliferation of new copyrighted works and pri…
eess.IV2024
DestripeCycleGAN: Stripe Simulation CycleGAN for Unsupervised Infrared Image Destriping
Shiqi Yang, Hanlin Qin, Shuai Yuan +2
CycleGAN has been proven to be an advanced approach for unsupervised image restoration. This framework consists of two generators: a denoising one for inference and an auxiliary on…
cs.CV2024
ASCNet: Asymmetric Sampling Correction Network for Infrared Image Destriping
Shuai Yuan, Hanlin Qin, Xiang Yan +4
In a real-world infrared imaging system, effectively learning a consistent stripe noise removal model is essential. Most existing destriping methods cannot precisely reconstruct im…