Papers Snow Removal
“Snow Removal” 태그가 달린 논문 28편 · 필터 해제
Wavelet-Enhanced Desnowing: A Novel Single Image Restoration Approach for Traffic Surveillance under Adverse Weather Conditions
Image restoration under adverse weather conditions refers to the process of removing degradation caused by weather particles while improving visual quality. Most existing deweathering methods rely on increasing the netwo…
Image RestorationSnow RemovalSemi-Supervised Video Desnowing Network via Temporal Decoupling Experts and Distribution-Driven Contrastive Regularization
Snow degradations present formidable challenges to the advancement of computer vision tasks by the undesirable corruption in outdoor scenarios. While current deep learning-based desnowing approaches achieve success on sy…
Snow RemovalLearning Truncated Causal History Model for Video Restoration
One key challenge to video restoration is to model the transition dynamics of video frames governed by motion. In this work, we propose TURTLE to learn the truncated causal history model for efficient and high-performing…
DeblurringDenoisingmodelRaindrop Removal+8Multiple weather images restoration using the task transformer and adaptive mixup strategy
The current state-of-the-art in severe weather removal predominantly focuses on single-task applications, such as rain removal, haze removal, and snow removal. However, real-world weather conditions often consist of a mi…
Autonomous DrivingRain RemovalSnow RemovalOneRestore: A Universal Restoration Framework for Composite Degradation
In real-world scenarios, image impairments often manifest as composite degradations, presenting a complex interplay of elements such as low light, haze, rain, and snow. Despite this reality, existing restoration methods …
Image DehazingImage RestorationLow-Light Image EnhancementRain Removal+1Revitalizing Convolutional Network for Image Restoration
Image restoration aims to reconstruct a high-quality image from its corrupted version, playing essential roles in many scenarios. Recent years have witnessed a paradigm shift in image restoration from convolutional neura…
DeblurringImage DeblurringImage DehazingImage Restoration+2A deep learning approach for marine snow synthesis and removal
Marine snow, the floating particles in underwater images, severely degrades the visibility and performance of human and machine vision systems. This paper proposes a novel method to reduce the marine snow interference us…
Deep LearningGenerative Adversarial NetworkImage-to-Image TranslationSnow RemovalRestoring Snow-Degraded Single Images With Wavelet in Vision Transformer
Images corrupted by snowy adverse weather can impose performance impediments to critical high-level vision-based applications. Restoring snow-degraded images is vital, but the task is ill-posed and very challenging due t…
Deep AttentionDenoisingImage DenoisingSnow RemovalSnow Removal for LiDAR Point Clouds with Spatio-temporal Conditional Random Fields
LiDAR sensors have been extensively used in numerous applications, including autonomous driving, owing to their ability to generate high-quality 3D point clouds. However, the sensor can be greatly affected in adverse wea…
3D Object DetectionAutonomous Drivingobject-detectionObject Detection+1Star-Net: Improving Single Image Desnowing Model With More Efficient Connection and Diverse Feature Interaction
Compared to other severe weather image restoration tasks, single image desnowing is a more challenging task. This is mainly due to the diversity and irregularity of snow shape, which makes it extremely difficult to resto…
Image RestorationSingle Image DesnowingSnow RemovalSnow Removal in Video: A New Dataset and A Novel Method
Snowfall is a common weather phenomenon that can severely affect computer vision tasks by obscuring objects and scenes. However, existing deep learning-based snow removal methods are designed for single images only. …
Contrastive LearningSnow RemovalLiSnowNet: Real-time Snow Removal for LiDAR Point Cloud
LiDARs have been widely adopted to modern self-driving vehicles, providing 3D information of the scene and surrounding objects. However, adverser weather conditions still pose significant challenges to LiDARs since point…
Snow RemovalLMQFormer: A Laplace-Prior-Guided Mask Query Transformer for Lightweight Snow Removal
Snow removal aims to locate snow areas and recover clean images without repairing traces. Unlike the regularity and semitransparency of rain, snow with various patterns and degradations seriously occludes the background.…
DecoderSnow RemovalEBSnoR: Event-Based Snow Removal by Optimal Dwell Time Thresholding
We propose an Event-Based Snow Removal algorithm called EBSnoR. We developed a technique to measure the dwell time of snowflakes on a pixel using event-based camera data, which is used to carry out a Neyman-Pearson hypot…
Snow RemovalSnowFormer: Context Interaction Transformer with Scale-awareness for Single Image Desnowing
Due to various and complicated snow degradations, single image desnowing is a challenging image restoration task. As prior arts can not handle it ideally, we propose a novel transformer, SnowFormer, which explores effici…
Image RestorationSingle Image DesnowingSnow RemovalTowards Real-time High-Definition Image Snow Removal: Efficient Pyramid Network with Asymmetrical Encoder-decoder Architecture
In winter scenes, the degradation of images taken under snow can be pretty complex, where the spatial distribution of snowy degradation is varied from image to image. Recent methods adopt deep neural networks to directly…
DecoderSnow RemovalMSP-Former: Multi-Scale Projection Transformer for Single Image Desnowing
Snow removal causes challenges due to its characteristic of complex degradations. To this end, targeted treatment of multi-scale snow degradations is critical for the network to learn effective snow removal. In order to …
Image RestorationSingle Image DesnowingSnow RemovalSSIMSnow Mask Guided Adaptive Residual Network for Image Snow Removal
Image restoration under severe weather is a challenging task. Most of the past works focused on removing rain and haze phenomena in images. However, snow is also an extremely common atmospheric phenomenon that will serio…
Image Restorationobject-detectionObject DetectionRain Removal+2Recurrent Video Restoration Transformer with Guided Deformable Attention
Video restoration aims at restoring multiple high-quality frames from multiple low-quality frames. Existing video restoration methods generally fall into two extreme cases, i.e., they either restore all frames in paralle…
Analog Video RestorationDeblurringDenoisingSnow Removal+5TransWeather: Transformer-based Restoration of Images Degraded by Adverse Weather Conditions
Removing adverse weather conditions like rain, fog, and snow from images is an important problem in many applications. Most methods proposed in the literature have been designed to deal with just removing one type of deg…
AllDecoderImage RestorationNeural Architecture Search+4