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cs.CV2025
2-Shots in the Dark: Low-Light Denoising with Minimal Data Acquisition
Liying Lu, Raphaël Achddou, Sabine Süsstrunk
Raw images taken in low-light conditions are very noisy due to low photon count and sensor noise. Learning-based denoisers have the potential to reconstruct high-quality images. Fo…
cs.CV2025
Dark Noise Diffusion: Noise Synthesis for Low-Light Image Denoising
Liying Lu, Raphaël Achddou, Sabine Süsstrunk
Low-light photography produces images with low signal-to-noise ratios due to limited photons. In such conditions, common approximations like the Gaussian noise model fall short, an…
cs.CV2020
Nested Learning For Multi-Granular Tasks
Raphaël Achddou, J. Matias di Martino, Guillermo Sapiro
Standard deep neural networks (DNNs) are commonly trained in an end-to-end fashion for specific tasks such as object recognition, face identification, or character recognition, amo…