hynann's Stars
open-mmlab/mmpose
OpenMMLab Pose Estimation Toolbox and Benchmark.
lijiaman/hm-vae
sebastianstarke/AI4Animation
Bringing Characters to Life with Computer Brains in Unity
CalciferZh/minimal-body
A very simple baseline to estimate 2D & 3D SMPL-compatible keypoints from a single color image.
facebookresearch/fairmotion
Tools to load, process and visualize motion capture data
mseitzer/pytorch-fid
Compute FID scores with PyTorch.
google-research/mint
Multi-modal Content Creation Model Training Infrastructure including the FACT model (AI Choreographer) implementation.
guillefix/transflower-lightning
multimodal transformer
zju3dv/animatable_nerf
Code for "Animatable Implicit Neural Representations for Creating Realistic Avatars from Videos" TPAMI 2024, ICCV 2021
davrempe/humor
Code for ICCV 2021 paper "HuMoR: 3D Human Motion Model for Robust Pose Estimation"
yz-cnsdqz/MOJO-release
google/aistplusplus_api
API to support AIST++ Dataset: https://google.github.io/aistplusplus_dataset
Mathux/ACTOR
Official Pytorch implementation of the paper "Action-Conditioned 3D Human Motion Synthesis with Transformer VAE", ICCV 2021
quan-meng/gnerf
[ ICCV 2021 Oral ] Our method can estimate camera poses and neural radiance fields jointly when the cameras are initialized at random poses in complex scenarios (outside-in scenes, even with less texture or intense noise )
ChenFengYe/SportsCap
[IJCV 2021] SportsCap: Monocular 3D Human Motion Capture and Fine-grained Understanding in Challenging Sports Videos
suoxinkey/PlenOctrees_NeRF-SH
PlenOctree Extraction algorithm
coder2gwy/coder2gwy
互联网首份程序员考公指南,由3位已经进入体制内的前大厂程序员联合献上。
CalciferZh/SMPL
NumPy, TensorFlow and PyTorch implementation of human body SMPL model and infant body SMIL model.
apchenstu/sofgan
[TOG 2022] SofGAN: A Portrait Image Generator with Dynamic Styling
extreme-assistant/CVPR2024-Paper-Code-Interpretation
cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集,极市团队整理
FudanNLP/nlp-beginner
NLP上手教程
hzy46/Deep-Learning-21-Examples
《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码
aymericdamien/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
scutan90/DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
Dod-o/Statistical-Learning-Method_Code
手写实现李航《统计学习方法》书中全部算法