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SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields
Ashkan Mirzaei, Tristan Aumentado-Armstrong, Konstantinos G. Derpanis +4
Neural Radiance Fields (NeRFs) have emerged as a popular approach for novel view synthesis. While NeRFs are quickly being adapted for a wider set of applications, intuitively editi…
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…
Residual Multiplicative Filter Networks for Multiscale Reconstruction
Shayan Shekarforoush, David B. Lindell, David J. Fleet +1
Coordinate networks like Multiplicative Filter Networks (MFNs) and BACON offer some control over the frequency spectrum used to represent continuous signals such as images or 3D vo…
Efficient CDF Approximations for Normalizing Flows
Chandramouli Shama Sastry, Andreas Lehrmann, Marcus Brubaker +1
Normalizing flows model a complex target distribution in terms of a bijective transform operating on a simple base distribution. As such, they enable tractable computation of a num…