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Neural Nearest Neighbors Networks
Tobias Plötz, Stefan Roth
Non-local methods exploiting the self-similarity of natural signals have been well studied, for example in image analysis and restoration. Existing approaches, however, rely on k-n…
Stochastic Variational Inference with Gradient Linearization
Tobias Plötz, Anne S. Wannenwetsch, Stefan Roth
Variational inference has experienced a recent surge in popularity owing to stochastic approaches, which have yielded practical tools for a wide range of model classes. A key benef…
Robust Multi-Image HDR Reconstruction for the Modulo Camera
Florian Lang, Tobias Plötz, Stefan Roth
Photographing scenes with high dynamic range (HDR) poses great challenges to consumer cameras with their limited sensor bit depth. To address this, Zhao et al. recently proposed a…
Benchmarking Denoising Algorithms with Real Photographs
Tobias Plötz, Stefan Roth
Lacking realistic ground truth data, image denoising techniques are traditionally evaluated on images corrupted by synthesized i.i.d. Gaussian noise. We aim to obviate this unreali…