ICCV 2023 "Neural Video Depth Stabilizer" (NVDS) & TPAMI 2024 "NVDS+: Towards Efficient and Versatile Neural Stabilizer for Video Depth Estimation" (NVDS+)

Modern Computer Vision with PyTorch, published by Packt

如何成为一名自洽的程序员

A Chinese Font Derived from Source Han Sans / Swei Gothic. 一款基于思源黑体/狮尾圆体的中文字体。

TOFlow: Video Enhancement with Task-Oriented Flow

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

Enforcing Temporal Consistency in Video Depth Estimation, ICCV-W 2021.

Refine high-quality datasets and visual AI models

Highlight several words in different colors simultaneously.

A computer vision closed-loop learning platform where code can be run interactively online. 学习闭环《计算机视觉实战演练：算法与应用》中文电子书、源码、读者交流社区（持续更新中 ...） 📘 在线电子书 https://charmve.github.io/computer-vision-in-acti…

The state-of-the-art image restoration model without nonlinear activation functions.

A range and area selectable diffthis to compare partially

2D AI-NR model for raw images, including dataset、training、infer.

Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also …

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Profile PyTorch models for FLOPs and parameters, helping to evaluate computational efficiency and memory usage.

Stereo vision made Simple

A tool made in python to convert normal image into special images which change their perspective as the user moves using face detection. It creates layers of an image using depth map generation and…

[CVPR'20] AANet: Adaptive Aggregation Network for Efficient Stereo Matching

[CVPR'22 Oral] GMFlow: Learning Optical Flow via Global Matching

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"

[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation

这是一个facenet-pytorch的库，可以用于训练自己的人脸识别模型。

Depth Pro: Sharp Monocular Metric Depth in Less Than a Second.

[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

Learning Compressed Representation of 3DLUT for Image-enhancement. Higher performance with much smaller models! ☺️

Image Signal Processor

fast-openISP: a faster re-implementation of openISP