jinyeying

Awesome-Diffusion-Models

A collection of resources and papers on Diffusion Models

Awesome-Nighttime-Enhancement

Collection of recent nighttime enhancement works, including papers, codes, datasets, and metrics.

Awesome-Shadow-Removal

Collection of recent shadow removal works, including papers, codes, datasets, and metrics.

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

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

FogRemoval

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

jinyeying.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

night-enhancement

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

nighttime_dehaze

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

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

jinyeying/night-enhancement

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

jinyeying/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

jinyeying/FogRemoval

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

jinyeying/nighttime_dehaze

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

jinyeying/Awesome-Nighttime-Enhancement

Collection of recent nighttime enhancement works, including papers, codes, datasets, and metrics.

jinyeying/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

jinyeying/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/jinyeying.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

jinyeying/Awesome-Diffusion-Models

A collection of resources and papers on Diffusion Models

jinyeying/Awesome-Shadow-Removal

Collection of recent shadow removal works, including papers, codes, datasets, and metrics.

jinyeying/Awesome-Weather-Removal

jinyeying/Inpaint-Anything

Inpaint anything using Segment Anything and inpainting models.

jinyeying/Flare7K

Official Implementation of "Flare7K: A Phenomenological Nighttime Flare Removal Dataset"

jinyeying/Awesome-diffusion-model-for-image-processing

one summary of diffusion-based image processing, including restoration, enhancement, coding, quality assessment

jinyeying/Improving-Lens-Flare-Removal

Official implementation of ICCV 2023 Improving Lens Flare Removal with General-Purpose Pipeline and Multiple Light Sources Recovery

jinyeying/jinyeying

jinyeying/SeD

Semantic-Aware Discriminator for Image Super-Resolution

jinyeying/TinyMed

jinyeying/VTprompt

The code for paper:Joint Visual and Text Prompting for Improved Object-Centric Perception with Multimodal Large Language Models