Kangfu Mei

According to our database, Kangfu Mei authored at least 24 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Bigger is not Always Better: Scaling Properties of Latent Diffusion Models.

Kangfu Mei, Zhengzhong Tu, Mauricio Delbracio, Hossein Talebi, Vishal M. Patel, Peyman Milanfar

CoRR, 2024

Latent Feature-Guided Diffusion Models for Shadow Removal.

Kangfu Mei, Luis Figueroa, Zhe Lin, Zhihong Ding, Scott Cohen, Vishal M. Patel

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

CoDi: Conditional Diffusion Distillation for Higher-Fidelity and Faster Image Generation.

Kangfu Mei, Mauricio Delbracio, Hossein Talebi, Zhengzhong Tu, Vishal M. Patel, Peyman Milanfar

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

LTT-GAN: Looking Through Turbulence by Inverting GANs.

Kangfu Mei, Vishal M. Patel

IEEE J. Sel. Top. Signal Process., May, 2023

Conditional Diffusion Distillation.

Kangfu Mei, Mauricio Delbracio, Hossein Talebi, Zhengzhong Tu, Vishal M. Patel, Peyman Milanfar

CoRR, 2023

T1: Scaling Diffusion Probabilistic Fields to High-Resolution on Unified Visual Modalities.

Kangfu Mei, Mo Zhou, Vishal M. Patel

CoRR, 2023

VIDM: Video Implicit Diffusion Models.

Kangfu Mei, Vishal M. Patel

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Bi-Noising Diffusion: Towards Conditional Diffusion Models with Generative Restoration Priors.

Kangfu Mei, Nithin Gopalakrishnan Nair, Vishal M. Patel

CoRR, 2022

AT-DDPM: Restoring Faces degraded by Atmospheric Turbulence using Denoising Diffusion Probabilistic Models.

Nithin Gopalakrishnan Nair, Kangfu Mei, Vishal M. Patel

CoRR, 2022

A Comparison of Different Atmospheric Turbulence Simulation Methods for Image Restoration.

Nithin Gopalakrishnan Nair, Kangfu Mei, Vishal M. Patel

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Thermal to Visible Image Synthesis Under Atmospheric Turbulence.

Kangfu Mei, Yiqun Mei, Vishal M. Patel

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Deep Semantic Statistics Matching (D2SM) Denoising Network.

Kangfu Mei, Vishal M. Patel, Rui Huang

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

MDCN: Multi-Scale Dense Cross Network for Image Super-Resolution.

Juncheng Li, Faming Fang, Jiaqian Li, Kangfu Mei, Guixu Zhang

IEEE Trans. Circuits Syst. Video Technol., 2021

Scale-Aware Network with Regional and Semantic Attentions for Crowd Counting under Cluttered Background.

Qiaosi Yi, Yunxing Liu, Aiwen Jiang, Juncheng Li, Kangfu Mei, Mingwen Wang

CoRR, 2021

SDAN: Squared Deformable Alignment Network for Learning Misaligned Optical Zoom.

Kangfu Mei, Shenglong Ye, Rui Huang

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

AttaNet: Attention-Augmented Network for Fast and Accurate Scene Parsing.

Qi Song, Kangfu Mei, Rui Huang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Disentangle Perceptual Learning through Online Contrastive Learning.

Kangfu Mei, Yao Lu, Qiaosi Yi, Haoyu Wu, Juncheng Li, Rui Huang

CoRR, 2020

2019

Deep residual refining based pseudo-multi-frame network for effective single image super-resolution.

Kangfu Mei, Aiwen Jiang, Juncheng Li, Bo Liu, Jihua Ye, Mingwen Wang

IET Image Process., 2019

HighEr-Resolution Network for Image Demosaicing and Enhancing.

Kangfu Mei, Juncheng Li, Jiajie Zhang, Haoyu Wu, Jie Li, Rui Huang

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

AIM 2019 Challenge on RAW to RGB Mapping: Methods and Results.

Andrey Ignatov, Juncheng Li, Jiajie Zhang, Haoyu Wu, Jie Li, Rui Huang, Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita, Yuzhi Zhao, Lai-Man Po, Radu Timofte, Tiantian Zhang, Zongbang Liao, Xiang Shi, Yujia Zhang, Weifeng Ou, Pengfei Xian, Jingjing Xiong, Chang Zhou, Wing Yin Yu, Yubin Yubin, Sung-Jea Ko, Bingxin Hou, Bumjun Park, Songhyun Yu, Sangmin Kim, Jechang Jeong, Seung-Wook Kim, Kwang-Hyun Uhm, Seo-Won Ji, Sung-Jin Cho, Jun-Pyo Hong, Kangfu Mei

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Lightweight and Accurate Recursive Fractal Network for Image Super-Resolution.

Juncheng Li, Yiting Yuan, Kangfu Mei, Faming Fang

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

An Effective Single-Image Super-Resolution Model Using Squeeze-and-Excitation Networks.

Kangfu Mei, Aiwen Jiang, Juncheng Li, Jihua Ye, Mingwen Wang

Proceedings of the Neural Information Processing - 25th International Conference, 2018

Multi-scale Residual Network for Image Super-Resolution.

Juncheng Li, Faming Fang, Kangfu Mei, Guixu Zhang

Proceedings of the Computer Vision - ECCV 2018, 2018

Progressive Feature Fusion Network for Realistic Image Dehazing.

Kangfu Mei, Aiwen Jiang, Juncheng Li, Mingwen Wang

Proceedings of the Computer Vision - ACCV 2018, 2018