Raphaël Achddou

12 papers B 1Misc 1Journal 7Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	2-Shots in the Dark: Low-Light Denoising with Minimal Data Acquisition. CoRR Liying Lu, Raphaël Achddou, Sabine Süsstrunk
2025	J	`jnl`	Noise Synthesis for Low-Light Image Denoising with Diffusion Models. CoRR Liying Lu, Raphaël Achddou, Sabine Süsstrunk
2025	J	`jnl`	VibrantLeaves: A principled parametric image generator for training deep restoration models. CoRR Raphaël Achddou, Yann Gousseau, Saïd Ladjal, Sabine Süsstrunk
2024	J	`jnl`	CNNs for Style Transfer of Digital to Film Photography. CoRR Pierre Mackenzie, Mika Senghaas, Raphaël Achddou
2024	J	`jnl`	Hybrid Training of Denoising Networks to Improve the Texture Acutance of Digital Cameras. CoRR Raphaël Achddou, Yann Gousseau, Saïd Ladjal
2023	J	`jnl`	Fully synthetic training for image restoration tasks. Comput. Vis. Image Underst. Raphaël Achddou, Yann Gousseau, Saïd Ladjal
2023	—	`conf`	Hybrid Training of Denoising Networks to Improve the Texture Acutance of Digital Cameras. SSVM Raphaël Achddou, Yann Gousseau, Saïd Ladjal
2023	B	`conf`	Learning Raw Image Denoising Using a Parametric Color Image Model. ICIP Raphaël Achddou, Yann Gousseau, Saïd Ladjal
2023	—	`—`	Synthetic learning for neural image restoration methods. (Apprentissage synthétique pour les méthodes neuronales de restauration d'images). Raphaël Achddou
2021	Misc	`conf`	Nested Learning for Multi-Level Classification. ICASSP Raphaël Achddou, J. Matías Di Martino, Guillermo Sapiro
2021	—	`conf`	Synthetic Images as a Regularity Prior for Image Restoration Neural Networks. SSVM Raphaël Achddou, Yann Gousseau, Saïd Ladjal
2020	J	`jnl`	Nested Learning For Multi-Granular Tasks. CoRR Raphaël Achddou, J. Matías Di Martino, Guillermo Sapiro