FacekitImplementations of PCN (an accurate real-time rotation-invariant face detector) and other face-related algorithms
Stars: ✭ 1,028 (+7.53%)
Face Pose NetEstimate 3D face pose (6DoF) or 11 parameters of 3x4 projection matrix by a Convolutional Neural Network
Stars: ✭ 464 (-51.46%)
SplatnetSPLATNet: Sparse Lattice Networks for Point Cloud Processing (CVPR2018)
Stars: ✭ 259 (-72.91%)
PrmWeakly Supervised Instance Segmentation using Class Peak Response, in CVPR 2018 (Spotlight)
Stars: ✭ 322 (-66.32%)
Faceswap3D face swapping implemented in Python
Stars: ✭ 508 (-46.86%)
Dest🐼 One Millisecond Deformable Shape Tracking Library (DEST)
Stars: ✭ 276 (-71.13%)
GibsonenvGibson Environments: Real-World Perception for Embodied Agents
Stars: ✭ 666 (-30.33%)
AdvsemisegAdversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018
Stars: ✭ 382 (-60.04%)
CDFSL-ATA[IJCAI 2021] Cross-Domain Few-Shot Classification via Adversarial Task Augmentation
Stars: ✭ 21 (-97.8%)
DVQA datasetDVQA Dataset: A Bar chart question answering dataset presented at CVPR 2018
Stars: ✭ 20 (-97.91%)
Peppa pig face engineA simple face detect and alignment method, which is easy and stable.
Stars: ✭ 329 (-65.59%)
Lemniscate.pytorchUnsupervised Feature Learning via Non-parametric Instance Discrimination
Stars: ✭ 532 (-44.35%)
Polyrnn PpInference Code for Polygon-RNN++ (CVPR 2018)
Stars: ✭ 704 (-26.36%)
GeomapnetGeometry-Aware Learning of Maps for Camera Localization (CVPR2018)
Stars: ✭ 281 (-70.61%)
Flame FittingExample code for the FLAME 3D head model. The code demonstrates how to sample 3D heads from the model, fit the model to 3D keypoints and 3D scans.
Stars: ✭ 269 (-71.86%)
TaadpapersMust-read Papers on Textual Adversarial Attack and Defense
Stars: ✭ 800 (-16.32%)
ASNetSalient Object Detection Driven by Fixation Prediction (CVPR2018)
Stars: ✭ 41 (-95.71%)
TfoptflowOptical Flow Prediction with TensorFlow. Implements "PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume," by Deqing Sun et al. (CVPR 2018)
Stars: ✭ 415 (-56.59%)
gym-advGym environments modified with adversarial agents
Stars: ✭ 26 (-97.28%)
Hrnet Facial Landmark DetectionThis is an official implementation of facial landmark detection for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919
Stars: ✭ 647 (-32.32%)
Selectiongan[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation
Stars: ✭ 366 (-61.72%)
nalp🗣️ NALP is a library that covers Natural Adversarial Language Processing.
Stars: ✭ 17 (-98.22%)
CADAAttending to Discriminative Certainty for Domain Adaptation
Stars: ✭ 17 (-98.22%)
PlanenetPlaneNet: Piece-wise Planar Reconstruction from a Single RGB Image
Stars: ✭ 334 (-65.06%)
Face Alignment🔥 2D and 3D Face alignment library build using pytorch
Stars: ✭ 5,417 (+466.63%)
NeurecNext RecSys Library
Stars: ✭ 731 (-23.54%)
DcpdnDensely Connected Pyramid Dehazing Network (CVPR'2018)
Stars: ✭ 321 (-66.42%)
Fots.pytorchFOTS Pytorch Implementation
Stars: ✭ 513 (-46.34%)
TfusionCVPR2018: Unsupervised Cross-dataset Person Re-identification by Transfer Learning of Spatio-temporal Patterns
Stars: ✭ 301 (-68.51%)
AdvertorchA Toolbox for Adversarial Robustness Research
Stars: ✭ 826 (-13.6%)
V2v Posenet releaseOfficial Torch7 implementation of "V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map", CVPR 2018
Stars: ✭ 286 (-70.08%)
3ddfaThe PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.
Stars: ✭ 3,154 (+229.92%)
Polyrnn Pp PytorchPyTorch training/tool code for Polygon-RNN++ (CVPR 2018)
Stars: ✭ 672 (-29.71%)
WshpCode for CVPR'18 spotlight "Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer"
Stars: ✭ 273 (-71.44%)
LiteflownetLiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation, CVPR 2018 (Spotlight paper, 6.6%)
Stars: ✭ 474 (-50.42%)
PsaLearning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation, CVPR 2018
Stars: ✭ 261 (-72.7%)
VcCode for CVPR'18 "Grounding Referring Expressions in Images by Variational Context"
Stars: ✭ 26 (-97.28%)
AtlasnetThis repository contains the source codes for the paper "AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation ". The network is able to synthesize a mesh (point cloud + connectivity) from a low-resolution point cloud, or from an image.
Stars: ✭ 450 (-52.93%)
adaptAwesome Domain Adaptation Python Toolbox
Stars: ✭ 46 (-95.19%)
AdaptsegnetLearning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)
Stars: ✭ 654 (-31.59%)
iqiyi-vid-challengeCode for IQIYI-VID(IQIYI Video Person Identification) Challenge Implemented in Python and MXNet
Stars: ✭ 45 (-95.29%)
Pytorch face landmarkFast and accurate face landmark detection library using PyTorch; Support 68-point semi-frontal and 39-point profile landmark detection; Support both coordinate-based and heatmap-based inference; Up to 100 FPS landmark inference speed with SOTA face detector on CPU.
Stars: ✭ 388 (-59.41%)
retinafaceRetinaFace: Deep Face Detection Library for Python
Stars: ✭ 242 (-74.69%)
G2LTexCode for CVPR 2018 paper --- Texture Mapping for 3D Reconstruction with RGB-D Sensor
Stars: ✭ 104 (-89.12%)
Openvtuber虚拟爱抖露(アイドル)共享计划, 是基于单目RGB摄像头的人眼与人脸特征点检测算法, 在实时3D面部捕捉以及模型驱动领域的应用.
Stars: ✭ 365 (-61.82%)
AdverseBiNetImproving Document Binarization via Adversarial Noise-Texture Augmentation
Stars: ✭ 34 (-96.44%)
Tf DannDomain-Adversarial Neural Network in Tensorflow
Stars: ✭ 556 (-41.84%)
DisguiseNetCode for DisguiseNet : A Contrastive Approach for Disguised Face Verification in the Wild
Stars: ✭ 20 (-97.91%)
DeraindropAttentive Generative Adversarial Network for Raindrop Removal from A Single Image (CVPR 2018)
Stars: ✭ 365 (-61.82%)
FfnetImplementation of our CVPR 2018 Paper (FFNet: Video Fast-Forwarding via Reinforcement Learning)
Stars: ✭ 17 (-98.22%)
2d And 3d Face AlignmentThis repository implements a demo of the networks described in "How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)" paper.
Stars: ✭ 772 (-19.25%)
StarganStarGAN - Official PyTorch Implementation (CVPR 2018)
Stars: ✭ 4,946 (+417.36%)