Heng Lu

Zero-Shot Image Denoising via Adaptive Multi-Candidate Feature Alignment with Non-Local Self-Similarity

Image denoising is the process of recovering clean images from noisy observations, which is a fundamental problem in low-level computer vision. Recent zero-shot image denoising methods don’t need external training datasets, because they just optimize directly on a single noisy image. But existing approaches mostly depe...