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Kangfu Mei
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2020 – today
- 2024
- [c14]Kangfu Mei, Mauricio Delbracio, Hossein Talebi, Zhengzhong Tu, Vishal M. Patel, Peyman Milanfar:
CoDi: Conditional Diffusion Distillation for Higher-Fidelity and Faster Image Generation. CVPR 2024: 9048-9058 - [c13]Kangfu Mei, Luis Figueroa, Zhe Lin, Zhihong Ding, Scott Cohen, Vishal M. Patel:
Latent Feature-Guided Diffusion Models for Shadow Removal. WACV 2024: 4301-4310 - [i19]Kangfu Mei, Zhengzhong Tu, Mauricio Delbracio, Hossein Talebi, Vishal M. Patel, Peyman Milanfar:
Bigger is not Always Better: Scaling Properties of Latent Diffusion Models. CoRR abs/2404.01367 (2024) - 2023
- [j3]Kangfu Mei
, Vishal M. Patel
LTT-GAN: Looking Through Turbulence by Inverting GANs. IEEE J. Sel. Top. Signal Process. 17(3): 587-598 (2023) - [c12]Kangfu Mei, Vishal M. Patel:
VIDM: Video Implicit Diffusion Models. AAAI 2023: 9117-9125 - [i18]Kangfu Mei, Mo Zhou, Vishal M. Patel:
T1: Scaling Diffusion Probabilistic Fields to High-Resolution on Unified Visual Modalities. CoRR abs/2305.14674 (2023) - [i17]Kangfu Mei, Mauricio Delbracio, Hossein Talebi, Zhengzhong Tu, Vishal M. Patel, Peyman Milanfar:
Conditional Diffusion Distillation. CoRR abs/2310.01407 (2023) - [i16]Kangfu Mei, Luis Figueroa, Zhe Lin, Zhihong Ding, Scott Cohen, Vishal M. Patel:
Latent Feature-Guided Diffusion Models for Shadow Removal. CoRR abs/2312.02156 (2023) - 2022
- [c11]Kangfu Mei
Deep Semantic Statistics Matching (D2SM) Denoising Network. ECCV (7) 2022: 384-400 - [c10]Kangfu Mei, Yiqun Mei, Vishal M. Patel:
Thermal to Visible Image Synthesis Under Atmospheric Turbulence. ICIP 2022: 2051-2055 - [c9]Nithin Gopalakrishnan Nair, Kangfu Mei, Vishal M. Patel:
A Comparison of Different Atmospheric Turbulence Simulation Methods for Image Restoration. ICIP 2022: 3386-3390 - [i15]Kangfu Mei, Yiqun Mei, Vishal M. Patel:
Thermal to Visible Image Synthesis under Atmospheric Turbulence. CoRR abs/2204.03057 (2022) - [i14]Nithin Gopalakrishnan Nair, Kangfu Mei, Vishal M. Patel:
A comparison of different atmospheric turbulence simulation methods for image restoration. CoRR abs/2204.08974 (2022) - [i13]Kangfu Mei, Vishal M. Patel, Rui Huang:
Deep Semantic Statistics Matching (D2SM) Denoising Network. CoRR abs/2207.09302 (2022) - [i12]Nithin Gopalakrishnan Nair
AT-DDPM: Restoring Faces degraded by Atmospheric Turbulence using Denoising Diffusion Probabilistic Models. CoRR abs/2208.11284 (2022) - [i11]Kangfu Mei, Vishal M. Patel:
VIDM: Video Implicit Diffusion Models. CoRR abs/2212.00235 (2022) - [i10]Kangfu Mei, Nithin Gopalakrishnan Nair, Vishal M. Patel:
Bi-Noising Diffusion: Towards Conditional Diffusion Models with Generative Restoration Priors. CoRR abs/2212.07352 (2022) - 2021
- [j2]Juncheng Li
MDCN: Multi-Scale Dense Cross Network for Image Super-Resolution. IEEE Trans. Circuits Syst. Video Technol. 31(7): 2547-2561 (2021) - [c8]Qi Song, Kangfu Mei, Rui Huang:
AttaNet: Attention-Augmented Network for Fast and Accurate Scene Parsing. AAAI 2021: 2567-2575 - [c7]Kangfu Mei, Shenglong Ye, Rui Huang:
SDAN: Squared Deformable Alignment Network for Learning Misaligned Optical Zoom. ICME 2021: 1-6 - [i9]Qiaosi Yi, Yunxing Liu, Aiwen Jiang, Juncheng Li, Kangfu Mei, Mingwen Wang:
Scale-Aware Network with Regional and Semantic Attentions for Crowd Counting under Cluttered Background. CoRR abs/2101.01479 (2021) - [i8]Qi Song, Kangfu Mei, Rui Huang:
AttaNet: Attention-Augmented Network for Fast and Accurate Scene Parsing. CoRR abs/2103.05930 (2021) - [i7]Kangfu Mei, Shenglong Ye, Rui Huang:
SDAN: Squared Deformable Alignment Network for Learning Misaligned Optical Zoom. CoRR abs/2104.00848 (2021) - [i6]Kangfu Mei, Vishal M. Patel:
LTT-GAN: Looking Through Turbulence by Inverting GANs. CoRR abs/2112.02379 (2021) - 2020
- [i5]Kangfu Mei, Yao Lu, Qiaosi Yi, Haoyu Wu, Juncheng Li
Disentangle Perceptual Learning through Online Contrastive Learning. CoRR abs/2006.13511 (2020) - [i4]Juncheng Li, Faming Fang, Jiaqian Li, Kangfu Mei, Guixu Zhang:
MDCN: Multi-scale Dense Cross Network for Image Super-Resolution. CoRR abs/2008.13084 (2020)
2010 – 2019
- 2019
- [j1]Kangfu Mei, Aiwen Jiang
Deep residual refining based pseudo-multi-frame network for effective single image super-resolution. IET Image Process. 13(4): 591-599 (2019) - [c6]Kangfu Mei, Juncheng Li
HighEr-Resolution Network for Image Demosaicing and Enhancing. ICCV Workshops 2019: 3441-3448 - [c5]Andrey Ignatov, Juncheng Li
AIM 2019 Challenge on RAW to RGB Mapping: Methods and Results. ICCV Workshops 2019: 3584-3590 - [c4]Juncheng Li
Lightweight and Accurate Recursive Fractal Network for Image Super-Resolution. ICCV Workshops 2019: 3814-3823 - [i3]Kangfu Mei, Juncheng Li, Jiajie Zhang, Haoyu Wu, Jie Li, Rui Huang:
HighEr-Resolution Network for Image Demosaicing and Enhancing. CoRR abs/1911.08098 (2019) - 2018
- [c3]Kangfu Mei
Progressive Feature Fusion Network for Realistic Image Dehazing. ACCV (1) 2018: 203-215 - [c2]Juncheng Li
Multi-scale Residual Network for Image Super-Resolution. ECCV (8) 2018: 527-542 - [c1]Kangfu Mei, Aiwen Jiang, Juncheng Li
An Effective Single-Image Super-Resolution Model Using Squeeze-and-Excitation Networks. ICONIP (6) 2018: 542-553 - [i2]Kangfu Mei, Aiwen Jiang, Juncheng Li, Jihua Ye, Mingwen Wang:
An Effective Single-Image Super-Resolution Model Using Squeeze-and-Excitation Networks. CoRR abs/1810.01831 (2018) - [i1]Kangfu Mei, Aiwen Jiang, Juncheng Li, Mingwen Wang:
Progressive Feature Fusion Network for Realistic Image Dehazing. CoRR abs/1810.02283 (2018)
Coauthor Index
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