Snow Removal
18 papers with code • 3 benchmarks • 3 datasets
Snow100K
RVSD
Most implemented papers
Recurrent Video Restoration Transformer with Guided Deformable Attention
Specifically, RVRT divides the video into multiple clips and uses the previously inferred clip feature to estimate the subsequent clip feature.
BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment
open-mmlab/mmediting
•
•
CVPR 2022
We show that by empowering the recurrent framework with the enhanced propagation and alignment, one can exploit spatiotemporal information across misaligned video frames more effectively.
Restoring Snow-Degraded Single Images With Wavelet in Vision Transformer
WINS-lab/WiT
•
•
IEEE Access 2023
In our experiments, we evaluated the performance of our model on the popular SRRS, SNOW100K, and CSD datasets, respectively.
Video Rain/Snow Removal by Transformed Online Multiscale Convolutional Sparse Coding
Furthermore, a transformation operator imposed on the background scenes is further embedded into the proposed model, which finely conveys the dynamic background transformations, such as rotations, scalings and distortions, inevitably existed in a real video sequence.
ALL Snow Removed: Single Image Desnowing Algorithm Using Hierarchical Dual-Tree Complex Wavelet Representation and Contradict Channel Loss
weitingchen83/iccv2021-single-image-desnowing-hdcwnet
•
•
ICCV 2021
Moreover, due to the limitation of existing snow datasets, to simulate the snow scenarios comprehensively, we propose a large-scale dataset called Comprehensive Snow Dataset (CSD).
Marine Snow Removal Benchmarking Dataset
This paper introduces a new benchmarking dataset for marine snow removal of underwater images.
TransWeather: Transformer-based Restoration of Images Degraded by Adverse Weather Conditions
jeya-maria-jose/TransWeather
•
•
CVPR 2022
We also introduce a transformer decoder with learnable weather type embeddings to adjust to the weather degradation at hand.
SnowFormer: 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.
LMQFormer: A Laplace-Prior-Guided Mask Query Transformer for Lightweight Snow Removal
Secondly, we design a Mask Query Transformer (MQFormer) to remove snow with the coarse mask, where we use two parallel encoders and a hybrid decoder to learn extensive snow features under lightweight requirements.
LiSnowNet: 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.
