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Shanghai

Zhangkai NI

Expert
@eezkni

Zhangkai NI is an Associate Professor at the School of Computer Science and Technology, Tongji University, Shanghai, China.

UEGAN. [TIP-2020] Official Pytorch implementation of "Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network"

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FDL. [CVPR-2024] Official Pytorch implementation of "Misalignment-Robust Frequency Distribution Loss for Image Transformation"

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SSIU. [TIP-2025] Official Pytorch implementation of "Structural Similarity-Inspired Unfolding for Lightweight Image Super-Resolution"

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AFUNet. [ICCV-2025] Official Pytorch implementation of "AFUNet: Cross-Iterative Alignment-Fusion Synergy for HDR Reconstruction via a Deep Unfolding Paradigm"

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Perceptual-GS. [ICML-2025] Official Pytorch implementation of "Perceptual-GS: Scene-adaptive Perceptual Densification for Gaussian Splatting"

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M2Trans. [IEEE J-BHI-2024] Official Pytorch implementation of "M2Trans: Multi-Modal Regularized Coarse-to-Fine Transformer for Ultrasound Image Super-Resolution"

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ColNeRF. [AAAI-2024] Official Pytorch implementation of "ColNeRF: Collaboration for Generalizable Sparse Input Neural Radiance Field"

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ESIM. [TIP-2017] Official MATLAB implementation of the "ESIM: Edge Similarity for Screen Content Image Quality Assessment"

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GFM. [TIP-2018] Official MATLAB implementation of the "A Gabor Feature-Based Quality Assessment Model for the Screen Content Images"

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DDR. [NeurIPS-2024] Official Pytorch implementation of "DDR: Exploiting Deep Degradation Response as Flexible Image Descriptor"

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SMHDR. [IJCV-2025] Official Pytorch implementation of "Semantic Masking with Curriculum Learning for Robust HDR Image Reconstruction"

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SVRF. [TIP-2025] Official Pytorch implementation of "Shell-guided Compression of Voxel Radiance Fields"

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LGFM. [TCSVT-2023] Official MATLAB implementation of the "High Dynamic Range Image Quality Assessment Based on Frequency Disparity"

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MDFS. [TMM-2024] Official Pytorch implementation of "Opinion-Unaware Blind Image Quality Assessment using Multi-Scale Deep Feature Statistics".

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WMNet. [TMM-2026] Official Pytorch implementation of "Wavelet-Domain Masked Image Modeling for Color-Consistent HDR Video Reconstruction"

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pytorch-loss-functions. A collection of loss functions with easy usage

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CMT. Official Pytorch implementation of "Contrastive Mean Teacher for Robust Low-Light Image Enhancement"

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eezkni. GitHub Stats

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