Progressive Feature Fusion Network for Realistic Image Dehazing. - Kangfu Mei; Aiwen Jiang; Juncheng Li 003; Mingwen Wang 001 (ACCV (1), 2018)

Multi-scale Residual Network for Image Super-Resolution. - Juncheng Li 003; Faming Fang; Kangfu Mei; Guixu Zhang (ECCV (8), 2018)

An Effective Single-Image Super-Resolution Model Using Squeeze-and-Excitation Networks. - Kangfu Mei; Aiwen Jiang; Juncheng Li 003; Jihua Ye; Mingwen Wang 001 (ICONIP (6), 2018)

Lightweight and Accurate Recursive Fractal Network for Image Super-Resolution. - Juncheng Li 003; Yiting Yuan; Kangfu Mei; Faming Fang (ICCV Workshops, 2019)

AIM 2019 Challenge on RAW to RGB Mapping: Methods and Results. - Andrey Ignatov; Juncheng Li 003; Jiajie Zhang; Haoyu Wu; Jie Li 098; Rui Huang 001; Muhammad Haris 002; Greg Shakhnarovich; Norimichi Ukita; Yuzhi Zhao; Lai-Man Po; Radu Timofte; et al. (ICCV Workshops, 2019)

HighEr-Resolution Network for Image Demosaicing and Enhancing. - Kangfu Mei; Juncheng Li 003; Jiajie Zhang; Haoyu Wu; Jie Li 098; Rui Huang 001 (ICCV Workshops, 2019)

Deep residual refining based pseudo-multi-frame network for effective single image super-resolution. - Kangfu Mei; Aiwen Jiang; Juncheng Li 003; Bo Liu 006; Jihua Ye; Mingwen Wang 001 (IET Image Process., 2019)

Disentangle Perceptual Learning through Online Contrastive Learning. - Kangfu Mei; Yao Lu; Qiaosi Yi; Haoyu Wu; Juncheng Li 003; Rui Huang 001 (CoRR, 2020)

AttaNet: Attention-Augmented Network for Fast and Accurate Scene Parsing. - Qi Song; Kangfu Mei; Rui Huang 001 (AAAI, 2021)

SDAN: Squared Deformable Alignment Network for Learning Misaligned Optical Zoom. - Kangfu Mei; Shenglong Ye; Rui Huang 001 (ICME, 2021)

Scale-Aware Network with Regional and Semantic Attentions for Crowd Counting under Cluttered Background. - Qiaosi Yi; Yunxing Liu; Aiwen Jiang; Juncheng Li 003; Kangfu Mei; Mingwen Wang 001 (CoRR, 2021)

MDCN: Multi-Scale Dense Cross Network for Image Super-Resolution. - Juncheng Li 003; Faming Fang; Jiaqian Li; Kangfu Mei; Guixu Zhang (IEEE Trans. Circuits Syst. Video Technol., 2021)

Deep Semantic Statistics Matching (D2SM) Denoising Network. - Kangfu Mei; Vishal M. Patel; Rui Huang 001 (ECCV (7), 2022)

Thermal to Visible Image Synthesis Under Atmospheric Turbulence. - Kangfu Mei; Yiqun Mei; Vishal M. Patel (ICIP, 2022)

A Comparison of Different Atmospheric Turbulence Simulation Methods for Image Restoration. - Nithin Gopalakrishnan Nair; Kangfu Mei; Vishal M. Patel (ICIP, 2022)

AT-DDPM: Restoring Faces degraded by Atmospheric Turbulence using Denoising Diffusion Probabilistic Models. - Nithin Gopalakrishnan Nair; Kangfu Mei; Vishal M. Patel (CoRR, 2022)

Bi-Noising Diffusion: Towards Conditional Diffusion Models with Generative Restoration Priors. - Kangfu Mei; Nithin Gopalakrishnan Nair; Vishal M. Patel (CoRR, 2022)

VIDM: Video Implicit Diffusion Models. - Kangfu Mei; Vishal M. Patel (AAAI, 2023)

T1: Scaling Diffusion Probabilistic Fields to High-Resolution on Unified Visual Modalities. - Kangfu Mei; Mo Zhou; Vishal M. Patel (CoRR, 2023)

Conditional Diffusion Distillation. - Kangfu Mei; Mauricio Delbracio; Hossein Talebi; Zhengzhong Tu; Vishal M. Patel; Peyman Milanfar (CoRR, 2023)

LTT-GAN: Looking Through Turbulence by Inverting GANs. - Kangfu Mei; Vishal M. Patel (IEEE J. Sel. Top. Signal Process., 2023)

CoDi: Conditional Diffusion Distillation for Higher-Fidelity and Faster Image Generation. - Kangfu Mei; Mauricio Delbracio; Hossein Talebi; Zhengzhong Tu; Vishal M. Patel; Peyman Milanfar (CVPR, 2024)

Latent Feature-Guided Diffusion Models for Shadow Removal. - Kangfu Mei; Luis Figueroa; Zhe Lin 001; Zhihong Ding; Scott Cohen; Vishal M. Patel (WACV, 2024)

The Power of Context: How Multimodality Improves Image Super-Resolution. - Kangfu Mei; Hossein Talebi; Mojtaba Ardakani; Vishal M. Patel; Peyman Milanfar; Mauricio Delbracio (CVPR, 2025)

Field-DiT: Diffusion Transformer on Unified Video, 3D, and Game Field Generation. - Kangfu Mei; Mo Zhou; Vishal M. Patel (ICLR, 2025)

Improving Conditional Diffusion Models through Re-Noising from Unconditional Diffusion Priors. - Kangfu Mei; Nithin Gopalakrishnan Nair; Vishal M. Patel (WACV, 2025)

Bigger is not Always Better: Scaling Properties of Latent Diffusion Models. - Kangfu Mei; Zhengzhong Tu; Mauricio Delbracio; Hossein Talebi; Vishal M. Patel; Peyman Milanfar (Trans. Mach. Learn. Res., 2025)

Reference-Guided Identity Preserving Face Restoration. - Mo Zhou; Keren Ye; Viraj Shah; Kangfu Mei; Mauricio Delbracio; Peyman Milanfar; Vishal M. Patel; Hossein Talebi (CoRR, 2025)

Kernel Density Steering: Inference-Time Scaling via Mode Seeking for Image Restoration. - Yuyang Hu; Kangfu Mei; Mojtaba Sahraee-Ardakan; Ulugbek S. Kamilov; Peyman Milanfar; Mauricio Delbracio (CoRR, 2025)