pangyyyyy

pangyyyyy's Stars

• ChenFengYe/TightCap

  [SIGGRAPH 2022] TightCap: 3D Human Shape Capture with Clothing Tightness Field, a human reconstruction framework for clothed avatars

  Language:ASP.NET1214

• aimagelab/multimodal-garment-designer

  This is the official repository for the paper "Multimodal Garment Designer: Human-Centric Latent Diffusion Models for Fashion Image Editing". ICCV 2023

  Language:Python41650

• Stonesjtu/pytorch_memlab

  Profiling and inspecting memory in pytorch

  Language:Python1k37

• yfeng95/DELTA

  Learning Disentangled Avatars with Hybrid 3D Representations. (Face, Body, Hair and Clothing)

  Language:Python25015

• open-mmlab/mmpose

  OpenMMLab Pose Estimation Toolbox and Benchmark.

  Language:Python6k1.3k

• openxrlab/xrnerf

  OpenXRLab Neural Radiance Field (NeRF) Toolbox and Benchmark

  Language:C++58350

• Zielon/MICA

  MICA - Towards Metrical Reconstruction of Human Faces [ECCV2022]

  Language:Python55580

• radekd91/emoca

  Official repository accompanying a CVPR 2022 paper EMOCA: Emotion Driven Monocular Face Capture And Animation. EMOCA takes a single image of a face as input and produces a 3D reconstruction. EMOCA sets the new standard on reconstructing highly emotional images in-the-wild

  Language:Python73291

• kakaobrain/nerf-factory

  An awesome PyTorch NeRF library

  Language:Python1.3k108

• xuxy09/Texformer

  "3D Human Texture Estimation from a Single Image with Transformers", ICCV 2021 Oral

  Language:Python21825

• mks0601/NeuralAnnot_RELEASE

  3D Pseudo-GTs of "NeuralAnnot: Neural Annotator for 3D Human Mesh Training Sets", CVPRW 2022 Oral.

  Language:Python17211

• vchoutas/expose

  ExPose - EXpressive POse and Shape rEgression

  Language:Python621101

• HongwenZhang/PyMAF

  [ICCV 2021, Oral] PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop

  Language:Python60467

• cure-lab/DeciWatch

  [ECCV 2022] Official implementation of the paper "DeciWatch: A Simple Baseline for 10x Efficient 2D and 3D Pose Estimation"

  Language:Python17515

• ethanweber/sitcoms3D

  Code for "The One Where They Reconstructed 3D Humans and Environments in TV shows" appearing in ECCV 2022.

  Language:Jupyter Notebook25617

• jbhuang0604/awesome-tips

  3.5k196

• yul85/movingcam

  Language:Python23337

• google/mipnerf

  Language:Python908110

• mks0601/Hand4Whole_RELEASE

  Official PyTorch implementation of "Accurate 3D Hand Pose Estimation for Whole-Body 3D Human Mesh Estimation", CVPRW 2022 (Oral.)

  Language:Python31931

• akashsengupta1997/STRAPS-3DHumanShapePose

  Code repository for the paper: Synthetic Training for Accurate 3D Human Pose and Shape Estimation in the Wild (BMVC 2020)

  Language:Python16818

• brjathu/T3DP

  Code repository for the paper "Tracking People with 3D Representations". NeurIPS 2021

  Language:Python897

• jfzhang95/BMP

  [CVPR 2021] Body Meshes as Points.

  Language:Python947

• cyoon1729/RLcycle

  A library for ready-made reinforcement learning agents and reusable components for neat prototyping

  Language:Python30063

• activatedgeek/torchrl

  Highly Modular and Scalable Reinforcement Learning

  Language:Python1149

• xiaoiker/NAS-With-Code

  Neural Architecture Search (NAS) papers with code

  15523

• sweetice/Deep-reinforcement-learning-with-pytorch

  PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

  Language:Python4k859

• jakegrigsby/deep_control

  Deep Reinforcement Learning for Continuous Control in PyTorch

  Language:Python9314

• LiYangHart/Hyperparameter-Optimization-of-Machine-Learning-Algorithms

  Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

  Language:Jupyter Notebook1.3k300

• MITAutoML/accelerating_nas

  Repository for "Accelerating Neural Architecture Search using Performance Prediction" (ICLR Workshop 2018)

  187

• SAGNIKMJR/MetaQNN_ImageGenerationVCAE_PyTorch

  Implementation of MetaQNN (https://arxiv.org/abs/1611.02167, https://github.com/bowenbaker/metaqnn.git) with Additions and Modifications in PyTorch for Image Generation with Asymmetric Variational Autoencoders

  Language:Python3