4 papers
VibrantLeaves: A principled parametric image generator for training deep restoration models
Raphael Achddou, Yann Gousseau, Saïd Ladjal +3
In this paper, we introduce a synthetic image generator relying on a few simple principles, specifically focusing on geometric modeling, textures, and a simple modeling of image ac…
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…
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…
CNNs for Style Transfer of Digital to Film Photography
Pierre Mackenzie, Mika Senghaas, Raphael Achddou
The use of deep learning in stylistic effect generation has seen increasing use over recent years. In this work, we use simple convolutional neural networks to model Cinestill800T…