39 citations · 86 across the 14 of their papers we have counts for
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Day-to-Night Image Synthesis for Training Nighttime Neural ISPs
Abhijith Punnappurath, Abdullah Abuolaim, Abdelrahman Abdelhamed +2
Many flagship smartphone cameras now use a dedicated neural image signal processor (ISP) to render noisy raw sensor images to the final processed output. Training nightmode ISP net…
Learning sRGB-to-Raw-RGB De-rendering with Content-Aware Metadata
Seonghyeon Nam, Abhijith Punnappurath, Marcus A. Brubaker +1
Most camera images are rendered and saved in the standard RGB (sRGB) format by the camera's hardware. Due to the in-camera photo-finishing routines, nonlinear sRGB images are undes…
Noise2NoiseFlow: Realistic Camera Noise Modeling without Clean Images
Ali Maleky, Shayan Kousha, Michael S. Brown +1
Image noise modeling is a long-standing problem with many applications in computer vision. Early attempts that propose simple models, such as signal-independent additive white Gaus…
Modeling sRGB Camera Noise with Normalizing Flows
Shayan Kousha, Ali Maleky, Michael S. Brown +1
Noise modeling and reduction are fundamental tasks in low-level computer vision. They are particularly important for smartphone cameras relying on small sensors that exhibit visual…