Stars
Metric depth estimation from a single image
Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"
Comparison of IQA models in Perceptual Optimization
[CVPR2020] Unsupervised Multi-Modal Image Registration via Geometry Preserving Image-to-Image Translation
NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
A memory-efficient implementation of DenseNets
Rewrite RedAlert3 shaders for all new 3dsMax versions so you can assign, preview and export materials just like those back in Max9
Code for Learning to Dehaze From Realistic Scene with A Fast Physics Based Dehazing Network
A python implementation of BRISQUE Image Quality Assessment
SSD目标检测算法(Single Shot MultiBox Detector)(简单,明了,易用,全中文注释,单机多卡训练,视频检测)( If you train the model on a single computer and mutil GPU, this program will be your best choice , easier to use and easier to …
The repreduction of Non-local Dehazing. Pure Python Implementation
(ARCHIVED) Geph (迷霧通) is a modular Internet censorship circumvention system designed specifically to deal with national filtering.
My little typescript telegram bot api
jorge-pessoa / pytorch-msssim
Forked from Po-Hsun-Su/pytorch-ssimPyTorch differentiable Multi-Scale Structural Similarity (MS-SSIM) loss
PyTorch implementation of some single image dehazing networks.
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
Companion repository to the paper Automatic Red-Channel Underwater Image Restoration, by Galdran et al.
Python implementation of multi scale retinex with color restoration
MATLAB implementation of "Single Image Haze Removal Using Dark Channel Prior"
📡 Simple and ready-to-use tutorials for TensorFlow
Acts like FuckAdBlock.js but always says that no adblock was detected
MATLAB codes for the paper "A Fast Single Image Haze Removal Algorithm using Color Attenuation Prior"