2 papers
eess.IV2026
TTTIR: Unlocking Instance-Specific State Evolution via Test-Time Training for Image Restoration
Kaihang Zheng, Jun Li, Hang Guo +5
Image restoration is inherently challenging due to the diverse and highly input-dependent nature of real-world degradations. While recent architectures like Transformers and state-…
cs.CV2025
An Efficient and Mixed Heterogeneous Model for Image Restoration
Yubin Gu, Yuan Meng, Kaihang Zheng +5
Image restoration~(IR), as a fundamental multimedia data processing task, has a significant impact on downstream visual applications. In recent years, researchers have focused on d…