Lists (7)
Stars
Official Repository of "ROSE: Remove Objects with Side Effects in Videos"
This is the official implementation of our paper: "MiniMax-Remover: Taming Bad Noise Helps Video Object Removal"
libavif - Library for encoding and decoding .avif files
⚓ 我的游戏程序员生涯的读书笔记合辑。你可以把它看作一个加强版的Blog。涉及图形学、实时渲染、编程实践、GPU编程、设计模式、软件工程等内容。Keep Reading , Keep Writing , Keep Coding.
🔥🔥 Deep Learning Head Pose Estimation using PyTorch.
OCR software, free and offline. 开源、免费的离线OCR软件。支持截屏/批量导入图片，PDF文档识别，排除水印/页眉页脚，扫描/生成二维码。内置多国语言库。
Erase specific content from the video that you don't wanna see
Inpaint anything using Segment Anything and inpainting models.
OCR, layout analysis, reading order, table recognition in 90+ languages
Visual studio project for object detection with SIFT features using OpenCV.
[IEEE TPAMI] Hi-SAM: Marrying Segment Anything Model for Hierarchical Text Segmentation
Official code for "Towards An End-to-End Framework for Flow-Guided Video Inpainting" (CVPR2022)
[CVPR 2021] Rethinking Text Segmentation: A Novel Dataset and A Text-Specific Refinement Approach
✨✨[CVPR 2025] Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis
The official rendering library for PAG (Portable Animated Graphics) files that renders After Effects animations natively across multiple platforms.
[ECCV2024 - Oral, Best Paper Award Candidate] SEA-RAFT: Simple, Efficient, Accurate RAFT for Optical Flow
Python library for YOLO small object detection and instance segmentation
Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.
An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) fo…
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Image restoration with neural networks but without learning.
Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
A unofficial pytorch implementation of PAN(PSENet2): Efficient and Accurate Arbitrary-Shaped Text Detection with Pixel Aggregation Network