zelonghaha

zelonghaha's Stars

• Shimingyi/MotioNet

  A deep neural network that directly reconstructs the motion of a 3D human skeleton from monocular video [ToG 2020]

  Language:Python55984

• willwulfken/MidJourney-Styles-and-Keywords-Reference

  A reference containing Styles and Keywords that you can use with MidJourney AI. There are also pages showing resolution comparison, image weights, and much more!

  11.9k1.7k

• MrTornado24/Next3D

  [CVPR 2023 Highlight] Next3D: Generative Neural Texture Rasterization for 3D-Aware Head Avatars

  Language:Python47029

• bdebye/thesisuestc

  ThesisUESTC-电子科技大学毕业论文模板

  Language:TeX1.3k322

• yuk6heo/GIS-RAmap

  Pytorch implementation of CVPR2021 oral paper (best paper candidate), "Guided Interactive Video Object Segmentation Using Reliability-Based Attention Maps"

  Language:Python463

• PantoMatrix/PantoMatrix

  PantoMatrix: Co-Speech Talking Head and Gestures Generation

  Language:Python915162

• TimoBolkart/FLAME-Universe

  Summary of publicly available ressources such as code, datasets, and scientific papers for the FLAME 3D head model

  37516

• zelonghaha/Awesome-Face-Capture-and-Facial-Animation-and-3D-Face-Reconstruction

  论文、开源项目

  7

• forthespada/MyPoorWebServer

  一款可运行的基于C++ 实现的WebServer服务器，基于《TCPIP网络编程》和《Linux高性能服务器编程》实现的服务器项目。

  Language:C1.2k208

• swook/EVE

  Towards End-to-end Video-based Eye-tracking. ECCV 2020. https://ait.ethz.ch/eve

  Language:Python11522

• extreme-assistant/ECCV2022-Paper-Code-Interpretation

  ECCV2022 论文/代码/解读合集，极市团队整理

  23921

• linyacool/WebServer

  A C++ High Performance Web Server

  Language:C++7.6k2.1k

• EZLippi/Tinyhttpd

  Tinyhttpd 是J. David Blackstone在1999年写的一个不到 500 行的超轻量型 Http Server，用来学习非常不错，可以帮助我们真正理解服务器程序的本质。官网:http://tinyhttpd.sourceforge.net

  Language:C11.3k3.9k

• cedriclmenard/irislandmarks.pytorch

  PyTorch implementation of Google's Mediapipe Iris Landmark model. The original code uses TFLite and their mediapipe workflow, which wouldn't work well with my codebase.

  Language:Jupyter Notebook6421

• zelonghaha/neural-head-avatars

  Official PyTorch implementation of "Neural Head Avatars from Monocular RGB Videos"

  1

• CyC2018/CS-Notes

  :books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

  175k50.8k

• 1996scarlet/Laser-Eye

  Gaze Estimation via Deep Neural Networks

  Language:Python11428

• antoinelame/GazeTracking

  👀 Eye Tracking library easily implementable to your projects

  Language:Python1.9k523

• yoyo-nb/Thin-Plate-Spline-Motion-Model

  [CVPR 2022] Thin-Plate Spline Motion Model for Image Animation.

  Language:Jupyter Notebook3.4k557

• o0Helloworld0o-ustc/ECCV2022_WCPA_track2

  The tutorial of ECCV2022 WCPA Challenge Track2.

  Language:Python291

• CVI-SZU/ME-GraphAU

  [IJCAI 2022] Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition, Pytorch code

  Language:Python15639

• babysor/MockingBird

  🚀AI拟声: 5秒内克隆您的声音并生成任意语音内容 Clone a voice in 5 seconds to generate arbitrary speech in real-time

  Language:Python34.9k5.2k

• philgras/neural-head-avatars

  Official PyTorch implementation of "Neural Head Avatars from Monocular RGB Videos"

  Language:Python53774

• abdallahdib/NextFace

  A high-fidelity 3D face reconstruction library from monocular RGB image(s)

  Language:Jupyter Notebook70089

• lattas/AvatarMe

  Public repository for the CVPR 2020 paper AvatarMe and the TPAMI 2021 AvatarMe++

  16517

• LizhenWangT/FaceVerse

  FaceVerse: a Fine-grained and Detail-controllable 3D Face Morphable Model from a Hybrid Dataset (CVPR2022)

  Language:Python46258

• av-savchenko/face-emotion-recognition

  Efficient face emotion recognition in photos and videos

  Language:Jupyter Notebook640122

• jby1993/SelfReconCode

  This repository contains a pytorch implementation of "SelfRecon: Self Reconstruction Your Digital Avatar from Monocular Video (CVPR 2022, Oral)".

  Language:Python40244

• zhang-datou/python-socket

  Python的tcp和udp传输功能

  Language:Python3

• Rubikplayer/flame-fitting

  Example code for the FLAME 3D head model. The code demonstrates how to sample 3D heads from the model, fit the model to 3D keypoints and 3D scans.

  Language:Python711108