Perception and sensing for autonomous vehicles under adverse weather conditions: A survey
Abstract Automated Driving Systems (ADS) open up a new domain for the automotive
industry and offer new possibilities for future transportation with higher efficiency and …
industry and offer new possibilities for future transportation with higher efficiency and …
Water body classification from high-resolution optical remote sensing imagery: Achievements and perspectives
Water body classification from high-resolution optical remote sensing (RS) images, aiming at
classifying whether each pixel of the image is water or not, has become a hot issue in the …
classifying whether each pixel of the image is water or not, has become a hot issue in the …
Shadowdiffusion: When degradation prior meets diffusion model for shadow removal
Recent deep learning methods have achieved promising results in image shadow removal.
However, their restored images still suffer from unsatisfactory boundary artifacts, due to the …
However, their restored images still suffer from unsatisfactory boundary artifacts, due to the …
Refusion: Enabling large-size realistic image restoration with latent-space diffusion models
This work aims to improve the applicability of diffusion models in realistic image restoration.
Specifically, we enhance the diffusion model in several aspects such as network …
Specifically, we enhance the diffusion model in several aspects such as network …
Bijective mapping network for shadow removal
Shadow removal, which aims to restore the background in the shadow regions, is
challenging due to the highly ill-posed nature. Most existing deep learning-based methods …
challenging due to the highly ill-posed nature. Most existing deep learning-based methods …
Countering malicious deepfakes: Survey, battleground, and horizon
The creation or manipulation of facial appearance through deep generative approaches,
known as DeepFake, have achieved significant progress and promoted a wide range of …
known as DeepFake, have achieved significant progress and promoted a wide range of …
Misf: Multi-level interactive siamese filtering for high-fidelity image inpainting
Although achieving significant progress, existing deep generative inpainting methods still
show low generalization across different scenes. As a result, the generated images usually …
show low generalization across different scenes. As a result, the generated images usually …
Residual denoising diffusion models
We propose residual denoising diffusion models (RDDM) a novel dual diffusion process that
decouples the traditional single denoising diffusion process into residual diffusion and noise …
decouples the traditional single denoising diffusion process into residual diffusion and noise …
Wsrd: A novel benchmark for high resolution image shadow removal
FA Vasluianu, T Seizinger… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
Shadow removal is an important computer vision task, whose aim is to successfully detect
the shadow affected area appearing through light occlussion, followed by a photo-realistic …
the shadow affected area appearing through light occlussion, followed by a photo-realistic …
Style-guided shadow removal
Shadow removal is an important topic in image restoration, and it can benefit many
computer vision tasks. State-of-the-art shadow-removal methods typically employ deep …
computer vision tasks. State-of-the-art shadow-removal methods typically employ deep …