NoiseDiff

NoiseDiff

Dark Noise Diffusion for synthetic low-light noise generation and image denoising.

Dark Noise Diffusion model for synthetic low-light noise generation and paired image denoising. Trained on SID and ELD datasets; uses diffusion-based noise simulation to augment training data. Provides pretrained models, training/testing scripts, shading resources, and optional synthetic data generation pipeline.

Deep Neural NetworksImages
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C4DT
Inactive
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Active
  • Technical

Image and Visual Representation Lab

Image and Visual Representation Lab
Sabine Süsstrunk

Prof. Sabine Süsstrunk

The Image and Visual Representation Lab (IVRL) performs research that is primarily focused on the capture, analysis, and reproduction of color images. Aiming to improve everyone’s photographic experience, we develop algorithms and systems that help us understand, process, and measure images.
Their research areas are computational photography, color image processing, computer vision, and image quality.

This page was last edited on 2026-03-03.