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06/26/2023
Fuzzy-Conditioned Diffusion and Diffusion Projection Attention Applied to Facial Image Correction
Image diffusion has recently shown remarkable performance in image synth...
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10/10/2022
PoGaIN: Poisson-Gaussian Image Noise Modeling from Paired Samples
Image noise can often be accurately fitted to a Poisson-Gaussian distrib...
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08/25/2022
DSR: Towards Drone Image Super-Resolution
Despite achieving remarkable progress in recent years, single-image supe...
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01/02/2022
Image Denoising with Control over Deep Network Hallucination
Deep image denoisers achieve state-of-the-art results but with a hidden ...
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06/01/2021
Fidelity Estimation Improves Noisy-Image Classification with Pretrained Networks
Image classification has significantly improved using deep learning. Thi...
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04/27/2021
NTIRE 2021 Depth Guided Image Relighting Challenge
Image relighting is attracting increasing interest due to its various ap...
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01/12/2021
Deep Gaussian Denoiser Epistemic Uncertainty and Decoupled Dual-Attention Fusion
Following the performance breakthrough of denoising networks, improvemen...
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11/03/2020
BIGPrior: Towards Decoupling Learned Prior Hallucination and Data Fidelity in Image Restoration
Image restoration encompasses fundamental image processing tasks that ha...
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09/27/2020
AIM 2020: Scene Relighting and Illumination Estimation Challenge
We review the AIM 2020 challenge on virtual image relighting and illumin...
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05/11/2020
VIDIT: Virtual Image Dataset for Illumination Transfer
Deep image relighting is gaining more interest lately, as it allows phot...
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05/09/2020
Realizability of Planar Point Embeddings from Angle Measurements
Localization of a set of nodes is an important and a thoroughly research...
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04/14/2020
Divergence-Based Adaptive Extreme Video Completion
Extreme image or video completion, where, for instance, we only retain 1...
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03/16/2020
Stochastic Frequency Masking to Improve Super-Resolution and Denoising Networks
Super-resolution and denoising are ill-posed yet fundamental image resto...
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03/12/2020
W2S: A Joint Denoising and Super-Resolution Dataset
Denoising and super-resolution (SR) are fundamental tasks in imaging. Th...
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03/07/2020
AL2: Progressive Activation Loss for Learning General Representations in Classification Neural Networks
The large capacity of neural networks enables them to learn complex func...
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07/05/2019
Blind Universal Bayesian Image Denoising with Gaussian Noise Level Learning
Blind and universal image denoising consists of a unique model that deno...
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05/20/2019
Drone Shadow Tracking
Aerial videos taken by a drone not too far above the surface may contain...
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09/11/2018