NguyenQuyDat

NguyenQuyDat's Stars

• FusionBrainLab/HairFastGAN

  Official Implementation for "HairFastGAN: Realistic and Robust Hair Transfer with a Fast Encoder-Based Approach"

  Language:Python41360

• NVlabs/stylegan3

  Official PyTorch implementation of StyleGAN3

  Language:Python6.4k1.1k

• LiheYoung/Depth-Anything

  [CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

  Language:Python6.8k518

• codeniko/shape_predictor_81_face_landmarks

  Custom shape predictor model trained to find 81 facial feature landmarks given any image

  Language:Python464126

• WongKinYiu/yolov9

  Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

  Language:Python8.8k1.4k

• lucidrains/stylegan2-pytorch

  Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

  Language:Python3.7k585

• zllrunning/face-parsing.PyTorch

  Using modified BiSeNet for face parsing in PyTorch

  Language:Python2.2k453

• oneThousand1000/HairMapper

  (CVPR 2022) HairMapper: Removing Hair from Portraits Using GANs.

  Language:Python27939

• wty-ustc/HairCLIPv2

  [ICCV 2023] HairCLIPv2: Unifying Hair Editing via Proxy Feature Blending

  Language:Jupyter Notebook17818

• ZPdesu/Barbershop

  Barbershop: GAN-based Image Compositing using Segmentation Masks (SIGGRAPH Asia 2021)

  Language:Python1.3k264

• tzt101/MichiGAN

  MichiGAN: Multi-Input-Conditioned Hair Image Generation for Portrait Editing (SIGGRAPH 2020)

  Language:Python29439

• derronqi/yolov8-face

  yolov8 face detection with landmark

  Language:Python48364

• yuanxiaosc/DeepImage-an-Image-to-Image-technology

  DeepNude's algorithm and general image generation theory and practice research, including pix2pix, CycleGAN, UGATIT, DCGAN, SinGAN, ALAE, mGANprior, StarGAN-v2 and VAE models (TensorFlow2 implementation). DeepNude的算法以及通用生成对抗网络（GAN,Generative Adversarial Network）图像生成的理论与实践研究。

  Language:Python5.2k2k

• triton-inference-server/server

  The Triton Inference Server provides an optimized cloud and edge inferencing solution.

  Language:Python8k1.4k

• thaoshibe/awesome-makeup-transfer

  A curated list of Awesome Makeup Transfer resources

  21031

• switchablenorms/CelebAMask-HQ

  A large-scale face dataset for face parsing, recognition, generation and editing.

  Language:Python2.1k348

• LynnHo/AttGAN-Tensorflow

  AttGAN: Facial Attribute Editing by Only Changing What You Want (IEEE TIP 2019)

  Language:Python602133

• onnx/onnx-tensorrt

  ONNX-TensorRT: TensorRT backend for ONNX

  Language:C++2.9k541

• CompVis/stable-diffusion

  A latent text-to-image diffusion model

  Language:Jupyter Notebook67.5k10.1k

• StoryMY/take-off-eyeglasses

  Official pytorch implementation of paper "Portrait Eyeglasses and Shadow Removal by Leveraging 3D Synthetic Data" (CVPR 2022).

  Language:Python12717

• cvat-ai/cvat

  Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

  Language:TypeScript12.2k3k

• pcr-upm/opal23_headpose

  Headpose estimation using OPAL (2023)

  Language:Jupyter Notebook464

• eriklindernoren/Keras-GAN

  Keras implementations of Generative Adversarial Networks.

  Language:Python9.2k3.1k

• eriklindernoren/PyTorch-GAN

  PyTorch implementations of Generative Adversarial Networks.

  Language:Python16.2k4k

• auroua/InsightFace_TF

  Insight Face on TensorFlow

  Language:Python699251

• Ascend-Research/HeadPoseEstimation-WHENet

  Language:Python46275

• samson6460/tf2_YOLO

  YOLOV1 to V4 implemented in tensorflow 2 (tf.keras).

  Language:Python117

• SizheAn/PanoHead

  Code Repository for CVPR 2023 Paper "PanoHead: Geometry-Aware 3D Full-Head Synthesis in 360 degree"

  Language:Python1.9k234

• HamadYA/GhostFaceNets

  This repository contains the official implementation of GhostFaceNets, State-Of-The-Art lightweight face recognition models.

  Language:Python17737

• learnk8s/distributed-tensorflow-on-k8s

  Language:Python4812