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20142026
most citedBlind Universal Bayesian Image Denoising with Gaussian Noise Level Learning

128 citations · 315 across the 51 of their papers we have counts for

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Showing 2022Show all

10 papers · 1 filter

cs.CV2022★ 1 cited

DSI2I: Dense Style for Unpaired Image-to-Image Translation

Baran Ozaydin, Tong Zhang, Sabine Süsstrunk +1

Unpaired exemplar-based image-to-image (UEI2I) translation aims to translate a source image to a target image domain with the style of a target image exemplar, without ground-truth…

cs.CV2022

DyNCA: Real-time Dynamic Texture Synthesis Using Neural Cellular Automata

Ehsan Pajouheshgar, Yitao Xu, Tong Zhang +1

Current Dynamic Texture Synthesis (DyTS) models can synthesize realistic videos. However, they require a slow iterative optimization process to synthesize a single fixed-size short…

cs.CV2022★ 12 cited

PoGaIN: Poisson-Gaussian Image Noise Modeling from Paired Samples

Nicolas Bähler, Majed El Helou, Étienne Objois +2

Image noise can often be accurately fitted to a Poisson-Gaussian distribution. However, estimating the distribution parameters from a noisy image only is a challenging task. Here,…

cs.CV2022

DSR: Towards Drone Image Super-Resolution

Xiaoyu Lin, Baran Ozaydin, Vidit Vidit +2

Despite achieving remarkable progress in recent years, single-image super-resolution methods are developed with several limitations. Specifically, they are trained on fixed content…

cs.LG2022

Fast Adversarial Training with Adaptive Step Size

Zhichao Huang, Yanbo Fan, Chen Liu +5

While adversarial training and its variants have shown to be the most effective algorithms to defend against adversarial attacks, their extremely slow training process makes it har…

cs.CV2022★ 12 cited

MulT: An End-to-End Multitask Learning Transformer

Deblina Bhattacharjee, Tong Zhang, Sabine Süsstrunk +1

We propose an end-to-end Multitask Learning Transformer framework, named MulT, to simultaneously learn multiple high-level vision tasks, including depth estimation, semantic segmen…