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Official code for CVPR 2023 paper NeuFace: Realistic 3D Neural Face Rendering from Multi-view Images.
Goliath Dataset and Official PyTorch Implementation of RelightableHands, Relightable Gaussian Codec Avatars, and Driving-Signal Aware Full-Body Avatars.
[ECCV 2024] The official implementation of paper "BrushNet: A Plug-and-Play Image Inpainting Model with Decomposed Dual-Branch Diffusion"
Code for "Garment Recovery with Shape and Deformation Priors", CVPR2024
[CVPR 2023] Official implementation of the paper "One-Stage 3D Whole-Body Mesh Recovery with Component Aware Transformer"
[ICCV2023] VLPart: Going Denser with Open-Vocabulary Part Segmentation
[CVPR 2024] High-Quality Facial Geometry and Appearance Capture at Home.
X-Avatar: Expressive Human Avatars (CVPR2023)
Summary of publicly available ressources such as code, datasets, and scientific papers for the FLAME 3D head model
Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies
Base on YOLOv5 Head Person Helmet Detection on Construction Sites，基于目标检测工地安全帽和禁入危险区域识别系统，🚀😆附 YOLOv5 训练自己的数据集超详细教程🚀😆2021.3新增可视化界面❗❗
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
A CMake toolchain file for iOS/iPadOS, visionOS, macOS, watchOS & tvOS C/C++/Obj-C++ development
C++ image processing and machine learning library with using of SIMD: SSE, AVX, AVX-512, AMX for x86/x64, NEON for ARM.
[CVPR 2022] FENeRF: Face Editing in Neural Radiance Fields
This repository contains a pytorch implementation of "HeadNeRF: A Real-time NeRF-based Parametric Head Model (CVPR 2022)".
pix2tex: Using a ViT to convert images of equations into LaTeX code.
A curated list of awesome parallel computing resources
This repository includes the official project of Mask Guided (MG) Matting, presented in our paper: Mask Guided Matting via Progressive Refinement Network
🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥
A synthetic data generator for text recognition
[CVPR2020] f-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation https://arxiv.org/abs/2001.10331
Cross-platform, customizable ML solutions for live and streaming media.
[ARCHIVED] The C++ Standard Library for your entire system. See https://github.com/NVIDIA/cccl