chenerg's repositories
2021_algorithm_intern_information
2021年的算法实习岗位/校招公司信息表，和常见深度学习基础、计算机视觉知识笔记、算法岗面试题答案，及暑期计算机视觉实习面经和总结。
avatarme
Public repository for the CVPR 2020 paper AvatarMe and the TPAMI 2021 AvatarMe++
awesome-object-pose
This repository is a curated list of papers and open source code for 6D Object Pose Estimation.
blender-cli-rendering
Python scripts for rendering images using Blender 2.80+ from command-line interface
BlenderProc
A procedural Blender pipeline for photorealistic training image generation
Capslock
My Capslock
CPlusPlusThings
C++那些事 个人修改版
Cpp-Primer-5th-Notes-CN
📚 《C++ Primer中文版（第5版）》笔记
CPP_Knowledge
Some Knowledge about CPP (link, compile, cmake,..)
curated-list-of-awesome-3D-Morphable-Model-software-and-data
The idea of this list is to collect shared data and algorithms around 3D Morphable Models. You are invited to contribute to this list by adding a pull request. The original list arised from the Dagstuhl seminar on 3D Morphable Models https://www.dagstuhl.de/19102 in March 2019.
Deep3DFaceRecon_pytorch
Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set (CVPRW 2019). A PyTorch implementation.
FlashAvatar-code
[CVPR 2024] The official repo for FlashAvatar
gaussian-splatting
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
house
有完整版的PDF下载。
interview
📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.
interview_python
关于Python的面试题
introduction-neural-3d-reconstruction
Course materials for Introduction to Neural 3D Reconstruction
ObjectPoseEstimationSummary
Resources (papers, datasets, rendering methods) in the domain of object pose estimation.
RAD-NeRF
Real-time Neural Radiance Talking Portrait Synthesis via Audio-spatial Decomposition
RandLA-Net
RandLA-Net in Tensorflow