This is a resouce list for low light image enhancement

[non-official] A PyTorch implementation of TCI 2023 paper "Multi-Stream Progressive Restoration for Low-Light Light Field Enhancement and Denoising"

The project is the official implementation of our IEEE TIP Journal, "Harnessing Multi-View Perspective of Light Fields for Low-Light Imaging"

Code for “Enhancing Low-light Light Field Images with A Deep Alternating Unfolding Network”

[CVPR2025 && NTIRE2025] HVI: A New Color Space for Low-light Image Enhancement (Official Implementation)

🐤This is an useful tool to decode/display lightfield files(.lfp) OR 2D remapping images into 5D data.

Collection of support scripts to read/write/process light field data

A list of data sets and other resources for light fields for computer vision

CutMIB in CVPR 2023

LFSRDiff: Light Field Image Super-Resolution via Diffusion Models

基于STM32的平衡车项目，目前在做，算法包括IMU数据的处理计算，卡尔曼滤波，PID算法，以及相关的控制算法

上传一些嵌入式方面的产品级项目，可能是基于STM32的，也可能是基于其它芯片方案的

基于STM32的热敏打印机

image classifier on stm32

使用STM32F4运行简单卷积神经网络 仓库名打错了 应该是MNIST🥺🥺🥺

[CVPR 2022] Occlusion-Aware Cost Constructor for Light Field Depth Estimation

Robust Depth Estimation for Light Field via Spinning Parallelogram Operator

Toolkit to compute metric scores, create figures, and validate submissions

[TPAMI 2023] DistgDisp: Disentangling Mechanism for Light Field Disparity Estimation

[AAAI2024] Transformer-Based Selective Super-resolution for Efficient Image Refinement

OpenSPG is a Knowledge Graph Engine developed by Ant Group in collaboration with OpenKG, based on the SPG (Semantic-enhanced Programmable Graph) framework. Core Capabilities: 1) domain model constr…

A command-line tool for tweaking WeChat - 首款微信 macOS 客户端撤回拦截与多开 🔨

This is the model zoo for our CVPR 2023 paper: EfficientViT: Memory Efficient Vision Transformer with Cascaded Group Attention

[IEEE TIP 2024] DEA-Net: Single image dehazing based on detail-enhanced convolution and content-guided attention

Examples of using sparse attention, as in "Generating Long Sequences with Sparse Transformers"

An implementation of Performer, a linear attention-based transformer, in Pytorch