2025
DEAL: Data-Efficient Adversarial Learning for High-Quality Infrared Imaging
CVPR 2025poster
Thermal imaging is often compromised by dynamic, complex degradations caused by hardware limitations and unpredictable environmental factors. The scarcity of high-quality infrared data, coupled with the challenges of dynamic, intricate degradations, makes it difficult to recover details using exis…