5 papers
LoViF 2026 The First Challenge on Weather Removal in Videos
Chenghao Qian, Xin Li, Yeying Jin +23
This paper presents a review of the LoViF 2026 Challenge on Weather Removal in Videos. The challenge encourages the development of methods for restoring clean videos from inputs de…
WeatherEdit: Controllable Weather Editing with 4D Gaussian Field
Chenghao Qian, Wenjing Li, Yuhu Guo +1
In this work, we present WeatherEdit, a novel weather editing pipeline for generating realistic weather effects with controllable types and severity in 3D scenes. Our approach is s…
WeatherGS: 3D Scene Reconstruction in Adverse Weather Conditions via Gaussian Splatting
Chenghao Qian, Yuhu Guo, Wenjing Li +1
3D Gaussian Splatting (3DGS) has gained significant attention for 3D scene reconstruction, but still suffers from complex outdoor environments, especially under adverse weather. Th…
WeatherDG: LLM-assisted Diffusion Model for Procedural Weather Generation in Domain-Generalized Semantic Segmentation
Chenghao Qian, Yuhu Guo, Yuhong Mo +1
In this work, we propose a novel approach, namely WeatherDG, that can generate realistic, weather-diverse, and driving-screen images based on the cooperation of two foundation mode…
AllWeatherNet:Unified Image Enhancement for Autonomous Driving under Adverse Weather and Lowlight-conditions
Chenghao Qian, Mahdi Rezaei, Saeed Anwar +4
Adverse conditions like snow, rain, nighttime, and fog, pose challenges for autonomous driving perception systems. Existing methods have limited effectiveness in improving essentia…