HeQ0219

HeQ0219's Stars

• mok0102/FaceVidSR

  baselines for face video super resolution.

  Language:Python11

• ClaudiaShu/EMO_AffectNet

  Language:Python5

• congvmit/AffectNet-Baseline

  Language:Python6

• djordjebatic/AffectNet

  Language:Python409

• ChrisChenYh/EfficientHuman

  Language:Python21

• ZBigFish/AffectNet-Dataset-Preprocessing-Tool

  A Python tool for preprocessing the AffectNet dataset into a structure that can be directly read by Pytorch's ImageFolder method.一个用于预处理AffectNet数据集的Python工具，使其可以直接被Pytorch中的ImageFolder方法读取。

  Language:Python121

• hhj1897/face_parsing

  Official Pytorch implementation of 'RoI Tanh-polar Transformer Network for Face Parsing in the Wild.'

  Language:Python21439

• zllrunning/face-parsing.PyTorch

  Using modified BiSeNet for face parsing in PyTorch

  Language:Python2.3k455

• Jo-dsa/SemanticSeg

  Face Parsing [ hard ROI context ]

  Language:Python2810

• zhuhao-nju/describe3d

  High-fidelity 3D Face Generation from Natural Language Descriptions (CVPR 2023)

  Language:Python922

• czh-98/3D-face-reconstruction-paper-list

  paper list of some 3D face reconstruction

  16911

• unibas-gravis/Occlusion-Robust-MoFA

  Language:Python20830

• soubhiksanyal/now_evaluation

  This is the official repository for evaluation on the NoW Benchmark Dataset. The goal of the NoW benchmark is to introduce a standard evaluation metric to measure the accuracy and robustness of 3D face reconstruction methods from a single image under variations in viewing angle, lighting, and common occlusions.

  Language:Python10515

• microsoft/Deep3DFaceReconstruction

  Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set (CVPRW 2019)

  Language:Python2.2k445

• csbhr/FFHQ-UV

  The official repository of our CVPR2023 paper "FFHQ-UV: Normalized Facial UV-Texture Dataset for 3D Face Reconstruction".

  Language:Python46046

• Charmve/Surface-Defect-Detection

  📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.

  Language:Python3.2k528

• soubhiksanyal/FLAME_PyTorch

  This is a implementation of the 3D FLAME model in PyTorch

  Language:Python66786

• TimoBolkart/TF_FLAME

  Tensorflow framework for the FLAME 3D head model. The code demonstrates how to sample 3D heads from the model, fit the model to 2D or 3D keypoints, and how to generate textured head meshes from Images.

  Language:Python44478

• 3d-morphable-models/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.

  901109

• rlczddl/awesome-3d-human-reconstruction

  86090

• LTT-O/3D-face-reconstruction

  Something about 3D face reconstruction

  16

• abdallahdib/abdallahdib.github.io

  Personal website for Abdallah Dib.

  Language:HTML263

• sicxu/Deep3DFaceRecon_pytorch

  Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set (CVPRW 2019). A PyTorch implementation.

  Language:Python1.7k312

• suvojit-0x55aa/3DMMasSTN-Pytorch

  Unofficial PyTorch implementation for incorporating a 3D Morphable Model (3DMM) into a Spatial Transformer Network (STN)

  Language:Python262

• abdallahdib/NextFace

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

  Language:Jupyter Notebook71191

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python56.2k5.8k

• cleardusk/3DDFA_V2

  The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.

  Language:Python2.9k514

• cleardusk/3DDFA

  The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.

  Language:Python3.6k653

• isl-org/DPT

  Dense Prediction Transformers

  Language:Python2k259

• R3ab/ttpla_dataset

  aerial images dataset on transmission towers and power lines

  Language:Python13531