Dark channel Haze removal algorithm with CUDA acceleration (typically 10x or more speedup using a Nvidia GPU)
☆14Dec 7, 2017Updated 8 years ago
Alternatives and similar repositories for Dark-Channel-Haze-Removal-with-CUDA
Users that are interested in Dark-Channel-Haze-Removal-with-CUDA are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- GPU Pathtracer from scratch using C++ and CUDA☆26Aug 8, 2021Updated 4 years ago
- 注释版☆10Apr 29, 2017Updated 8 years ago
- nVidia's CUDA accelerated Spin Transformations of Discrete Surfaces, based on the original code and paper by Keenan Crane, Ulrich Pinkall…☆17Mar 14, 2018Updated 8 years ago
- Code for reproducing experiments performed for Accoridon☆13Jun 11, 2021Updated 4 years ago
- Python implementation of SPAAM (Single point active alignment method) for optical see-through HMD calibration for AR☆14Dec 24, 2019Updated 6 years ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- 使用OPenCL计算SGM算法☆12Nov 3, 2019Updated 6 years ago
- matlab code for 2017 Detail-Enhanced Multi-Scale Exposure Fusion☆28Nov 22, 2017Updated 8 years ago
- 🔮 High-performance kaleidoscope effects for real-time applications☆15Apr 1, 2026Updated 2 weeks ago
- Code for "Practical Low-Rank Communication Compression in Decentralized Deep Learning"☆17Aug 4, 2020Updated 5 years ago
- Base container for developing C++ and Fortran HPC applications☆18Jun 14, 2022Updated 3 years ago
- HelTomo - Helsinki Tomography Toolbox☆11Aug 5, 2022Updated 3 years ago
- C/C++ Header to Markdown converter (h2md)☆18Apr 6, 2023Updated 3 years ago
- Caffe version of code for our paper "Joint unsupervised learning of deep representations and image clusters"☆16Jul 4, 2017Updated 8 years ago
- Process Filter for Python☆16Jan 19, 2016Updated 10 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Learning Deep Parsimonious Representations, Deep Learning, Clustering, NIPS 2016☆14Dec 25, 2019Updated 6 years ago
- ☆19Apr 10, 2017Updated 9 years ago
- Semiglobal Matching (SGM) implementation using CUDA☆14Sep 6, 2016Updated 9 years ago
- Implementation of the Extended Exposure Fusion (EEF) proposed in [WACV '20 paper reference]☆12Dec 21, 2019Updated 6 years ago
- Region growing for automatic spine segmentation☆11Apr 1, 2020Updated 6 years ago
- A complete tutorial to reproduce Fast Depth Densification for Occlusion-aware Augmented Reality (SIGGRAPH-Asia 2018), as well as a script…☆14Feb 11, 2020Updated 6 years ago
- ☆17May 24, 2016Updated 9 years ago
- ☆19Dec 9, 2015Updated 10 years ago
- [C++/QT] X-Ray simulation and reconstruction toolkit☆11Apr 12, 2015Updated 11 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- CUDA solutions for the lab assignments in the UIUC-ECE408 Applied Parallel Programming course.☆19Apr 18, 2023Updated 3 years ago
- ☆11Jul 8, 2021Updated 4 years ago
- ☆37Oct 10, 2025Updated 6 months ago
- Creates simplified surfaces from dense point clouds☆12Jun 3, 2024Updated last year
- Honeypot made in Python/Scapy. Support ARP, ICMP, Http and SSH☆26May 15, 2012Updated 13 years ago
- Harvard CS205 Final Project Website☆14Dec 11, 2015Updated 10 years ago
- Escoin: Efficient Sparse Convolutional Neural Network Inference on GPUs☆16Feb 28, 2019Updated 7 years ago
- A GPU benchmark suite for autotuners☆19Feb 20, 2024Updated 2 years ago
- The source code of "A Holistic Approach to Cross-Channel Image Noise Modeling and its Application to Image Denoising, CVPR16"☆20Jul 22, 2016Updated 9 years ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- GPU accelerated non local means (CUDA)☆10Jun 5, 2018Updated 7 years ago
- Wox plugin to search github repos, browse issues and PRs☆12Mar 28, 2021Updated 5 years ago
- Runs a single CUDA/OpenCL kernel, taking its source from a file and arguments from the command-line☆25Apr 11, 2026Updated last week
- The implement of <fast visibility restoration from a single color or gray level image>.☆11Mar 11, 2021Updated 5 years ago
- A simple Viewer for 3D data built with VTK☆13Nov 28, 2025Updated 4 months ago
- 描述: 这是一个深度学习项目，利用 HRNet 和 FPN 架构进行钢材表面缺陷检测。本项目针对噪声较大的比赛数据进行了优化，包括椒盐噪声模拟和拼接数据处理，采用自定义增强技术、高级损失函数及多尺度特征融合。仓库包含训练脚本、模型定义和评估指标。☆16Nov 17, 2024Updated last year
- WIP for a k-d-tree implementation in CUDA☆35Mar 22, 2023Updated 3 years ago