PL's repositories
AdaIN-style
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
binary-human-pose-estimation
This code implements a demo of the Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources paper by Adrian Bulat and Georgios Tzimiropoulos.
caffe-segnet-cudnn5
This repository was a fork of BVLC/caffe and includes the upsample, bn, dense_image_data and softmax_with_loss (with class weighting) layers of caffe-segnet (https://github.com/alexgkendall/caffe-segnet) to run SegNet with cuDNN version 5.
crayon
A language-agnostic interface to TensorBoard
domain-transfer-network
TensorFlow Implementation of Unsupervised Cross-Domain Image Generation
dong_iccv_2017
A PyTorch implementation of the paper "Semantic Image Synthesis via Adversarial Learning" in ICCV 2017
efficient_densenet_pytorch
A memory-efficient implementation of DenseNets
Face-Aging-CAAE
Age Progression/Regression by Conditional Adversarial Autoencoder
face_specific_augm
Face Renderer to perform Domain (Face) Specific Data Augmentation
FaceSwap
Real-time FaceSwap application built with OpenCV and dlib
FaceTracker
Real time deformable face tracking in C++ with OpenCV 3.
gans-collection.torch
Torch implementation of various types of GAN (e.g. DCGAN, ALI, Context-encoder, DiscoGAN, CycleGAN)
human-pose-estimation
This repository implements a demo of the Human pose estimation via Convolutional Part Heatmap Regression paper.
ICCV17-fashionGAN
Full version (training+testing) of implementation of Shizhan Zhu et al.'s ICCV-17 work Be Your Own Prada: Fashion Synthesis with Structural Coherence
learnopencv
Learn OpenCV : C++ and Python Examples
MALSAR
Multi-task learning via Structural Regularization
mdm
A TensorFlow implementation of the Mnemonic Descent Method.
Merge_bn_Caffe
Merge Batch Normalization in caffe
n2nmn
Code release for Hu et al. Learning to Reason: End-to-End Module Networks for Visual Question Answering. in ICCV, 2017
OpenFace-1
OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.
PhotographicImageSynthesis
Photographic Image Synthesis with Cascaded Refinement Networks
poissonblending
Python implementation of poisson blending
PRML
PRML algorithms implemented in Python
progressive_growing_of_gans
Progressive Growing of GANs for Improved Quality, Stability, and Variation
PyraNet
Code for "Learning Feature Pyramids for Human Pose Estimation" (ICCV 2017)
pytorch-CycleGAN-and-pix2pix
Image-to-image translation in PyTorch (e.g. horse2zebra, edges2cats, and more)
pytorch-semantic-segmentation
PyTorch for Semantic Segmentation
Pytorch_fine_tuning_Tutorial
A short tutorial on performing fine tuning or transfer learning in PyTorch.
tf.gans-comparison
Implementations of (theoretical) generative adversarial networks and comparison without cherry-picking
VanillaCNN
Implementation of the Vanilla CNN described in the paper: Yue Wu and Tal Hassner, "Facial Landmark Detection with Tweaked Convolutional Neural Networks", arXiv preprint arXiv:1511.04031, 12 Nov. 2015. See project page for more information about this project. http://www.openu.ac.il/home/hassner/projects/tcnn_landmarks/ Written by Ishay Tubi : ishay2b [at] gmail [dot] com https://www.l