[CVPR'24] Improving Spectral Snapshot Reconstruction with Spatial-Spectral Rectification

[CVPR'24] Dual Prior Unfolding for Snapshot Compressive Imaging

Heterogeneous window Transformer for image denoising (IEEE TSMC,2024)

A cross Transformer for image denoising(Information Fusion, 2024)

(IJCV 2023) Deep Physics-Guided Unrolling Generalization for Compressed Sensing [PyTorch]

[NeurIPS 2024 Oral][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-sim…

Adapt or Perish: Adaptive Sparse Transformer with Attentive Feature Refinement for Image Restoration

This is the official implementation of state-of-the-art medical image denoising method titled as "Dynamic Residual Attention Network (DRAN)".

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Deep learning toolbox based on PyTorch for hyperspectral data classification.

Methods and Implements of Deep Clustering

Experimental results obtained with the MinCutPool layer as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Pooling"

Selective Sampling-based Scalable Sparse Subspace Clustering (NeurIPS 19')

记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文

Keras Implementation of Neural Style Transfer from the paper "A Neural Algorithm of Artistic Style" (http://arxiv.org/abs/1508.06576) in Keras 2.0+

Implementation of Deep Soft-K means

✏️ Neural Style Transfer: A Review

Hessian spectral density estimation in TF and Jax

Spectral Perturbation Meets Incomplete Multi-view Data

Attention mechanism Implementation for Keras.

🐋 大学《数据结构（C语言版）（第2版）》 严蔚敏版的配套PPT/源代码/实验安排/课时安排

MATLAB code for the ICDM paper "Consistency Meets Inconsistency: A Unified Graph Learning Framework for Multi-view Clustering"

Curated list of resources for college students