jinyeying's Projects
one summary of diffusion-based image processing, including restoration, enhancement, coding, quality assessment
A collection of resources and papers on Diffusion Models
Collection of recent nighttime enhancement works, including papers, codes, datasets, and metrics.
Collection of recent shadow removal works, including papers, codes, datasets, and metrics.
A collection of dehazing methods.
[ICCV2021]"DC-ShadowNet: Single-Image Hard and Soft Shadow Removal Using Unsupervised Domain-Classifier Guided Network", https://arxiv.org/abs/2207.10434
[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
[ACCV22] Structure Representation Network and Uncertainty Feedback Learning for Dense Non-Uniform Fog Removal, https://arxiv.org/abs/2210.03061
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
[ECCV2022] "Unsupervised Night Image Enhancement: When Layer Decomposition Meets Light-Effects Suppression", https://arxiv.org/abs/2207.10564
[ACMMM2023] "Enhancing Visibility in Nighttime Haze Images Using Guided APSF and Gradient Adaptive Convolution", https://arxiv.org/abs/2308.01738
[ECCV2024] "Raindrop Clarity: A Dual-Focused Dataset for Day and Night Raindrop Removal", https://arxiv.org/abs/2407.16957
[AAAI23] Estimating Reflectance Layer from A Single Image: Integrating Reflectance Guidance and Shadow/Specular Aware Learning, https://arxiv.org/abs/2211.14751
Semantic-Aware Discriminator for Image Super-Resolution
UCIP: A Universal Framework for Compressed Image Super-Resolution using Dynamic Prompt
The code for paper:Joint Visual and Text Prompting for Improved Object-Centric Perception with Multimodal Large Language Models