jinyeying

night-enhancement. [ECCV2022] "Unsupervised Night Image Enhancement: When Layer Decomposition Meets Light-Effects Suppression", https://arxiv.org/abs/2207.10564

DC-ShadowNet-Hard-and-Soft-Shadow-Removal. [ICCV2021]"DC-ShadowNet: Single-Image Hard and Soft Shadow Removal Using Unsupervised Domain-Classifier Guided Network", https://arxiv.org/abs/2207.10434

nighttime_dehaze. [ACMMM2023] "Enhancing Visibility in Nighttime Haze Images Using Guided APSF and Gradient Adaptive Convolution", https://arxiv.org/abs/2308.01738

FogRemoval. [ACCV22] Structure Representation Network and Uncertainty Feedback Learning for Dense Non-Uniform Fog Removal, https://arxiv.org/abs/2210.03061

Awesome-Nighttime-Enhancement. Collection of recent nighttime enhancement works, including papers, codes, datasets, and metrics.

S-Aware-network. [AAAI23] Estimating Reflectance Layer from A Single Image: Integrating Reflectance Guidance and Shadow/Specular Aware Learning, https://arxiv.org/abs/2211.14751

RaindropClarity. [ECCV2024] "Raindrop Clarity: A Dual-Focused Dataset for Day and Night Raindrop Removal", https://arxiv.org/abs/2407.16957

DeS3_Deshadow. [AAAI'2024] DeS3: Adaptive Attention-driven Self and Soft Shadow Removal using ViT Similarity. First diffusion-based shadow removal performs robustly on hard, soft and self shadows. https://arxiv.org/abs/2211.08089

jinyeying.github.io. Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

Awesome-Weather-Removal.

Awesome-Shadow-Removal. Collection of recent shadow removal works, including papers, codes, datasets, and metrics.

Awesome-Diffusion-Models. A collection of resources and papers on Diffusion Models

jinyeying.

AwesomeDehazing. A collection of dehazing methods.

CVPR-NTIRE2025-RainDrop-Competition.github.io. JavaScript

PosterCraft. Rethinking High-Quality Aesthetic Poster Generation in a Unified Framework