Search Results for author:
Found 18 papers, 16 papers with code
VerA: Versatile Anonymization Fit for Clinical Facial Images
VerA outperforms or is on par with state-of-the-art methods in de-identification and photorealism for regular images.
Fuzzy-Conditioned Diffusion and Diffusion Projection Attention Applied to Facial Image Correction
Additionally, we propose an application to facial image correction, where we combine our fuzzy-conditioned diffusion with diffusion-derived attention maps.
PoGaIN: Poisson-Gaussian Image Noise Modeling from Paired Samples
To fill this gap, we derive a novel, cumulant-based, approach for Poisson-Gaussian noise modeling from paired image samples.
DSR: Towards Drone Image Super-Resolution
It would enable drones to fly higher covering larger fields of view, while maintaining a high image quality.
Image Denoising with Control over Deep Network Hallucination
In this framework, we exploit the outputs of a deep denoising network alongside an image convolved with a reliable filter.
Fidelity Estimation Improves Noisy-Image Classification With Pretrained Networks
Furthermore, as proof of concept, we show that when using our oracle fidelity map we even outperform the fully retrained methods, whether trained on noisy or restored images.
NTIRE 2021 Depth Guided Image Relighting Challenge
In this paper, we review the NTIRE 2021 depth guided image relighting challenge.
Deep Gaussian Denoiser Epistemic Uncertainty and Decoupled Dual-Attention Fusion
While novel denoising networks were designed for real images coming from different distributions, or for specific applications, comparatively small improvement was achieved on Gaussian denoising.
BIGPrior: Towards Decoupling Learned Prior Hallucination and Data Fidelity in Image Restoration
Our method, though partly reliant on the quality of the generative network inversion, is competitive with state-of-the-art supervised and task-specific restoration methods.
AIM 2020: Scene Relighting and Illumination Estimation Challenge
The first track considered one-to-one relighting; the objective was to relight an input photo of a scene with a different color temperature and illuminant orientation (i. e., light source position).
VIDIT: Virtual Image Dataset for Illumination Transfer
Deep image relighting is gaining more interest lately, as it allows photo enhancement through illumination-specific retouching without human effort.
Divergence-Based Adaptive Extreme Video Completion
Extreme image or video completion, where, for instance, we only retain 1% of pixels in random locations, allows for very cheap sampling in terms of the required pre-processing.
Stochastic Frequency Masking to Improve Super-Resolution and Denoising Networks
Super-resolution and denoising are ill-posed yet fundamental image restoration tasks.
W2S: Microscopy Data with Joint Denoising and Super-Resolution for Widefield to SIM Mapping
To study JDSR on microscopy data, we propose such a novel JDSR dataset, Widefield2SIM (W2S), acquired using a conventional fluorescence widefield and SIM imaging.
AL2: Progressive Activation Loss for Learning General Representations in Classification Neural Networks
We propose to regularize this representation in the last feature layer before classification layers.
Blind Universal Bayesian Image Denoising with Gaussian Noise Level Learning
Blind and universal image denoising consists of using a unique model that denoises images with any level of noise.
Ranked #1 on
Grayscale Image Denoising
on BSD68 sigma40
Drone Shadow Tracking
In this paper, we incorporate knowledge of the shadow's physical properties, in the form of shadow detection masks, into a correlation-based tracking algorithm.
Fourier-Domain Optimization for Image Processing
Image optimization problems encompass many applications such as spectral fusion, deblurring, deconvolution, dehazing, matting, reflection removal and image interpolation, among others.
