liuguoyou Goto Github PK

human_body_prior

VPoser: Variational Human Pose Prior

human_dynamics

Project for paper "Learning 3D Human Dynamics from Video"

hyperion

Dehazing and Low Light Image Enhancement

hyperlandmark

Deep Learning Based Free Mobile Real-Time Face Landmark Localization.

hyperseg

HyperSeg - Official PyTorch Implementation

i2l-meshnet_release

Official PyTorch implementation of "I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image", ECCV 2020

iagcwd

An improved contrast enhancement method for image. :camera:

ibn-net

Instance-Batch Normalization Networks (ECCV2018)

ibrnet

iccr

Face Tracking library using iCCR

icface

ICface: Interpretable and Controllable Face Reenactment Using GANs

icnet

ICNet for Real-Time Semantic Segmentation on High-Resolution Images

ict-facekit

ICT's Vision and Graphics Lab's morphable face model and toolkit

idlf

Intel® Deep Learning Framework

ifcnn

code for "IFCNN: A General Image Fusion Framework Based on Convolutional Neural Network"

ikc

Implementation of 'Blind Super-Resolution With Iterative Kernel Correction', based on BasicSR

illumination-estimation

EMLight: Lighting Estimation via Spherical Distribution Approximation [AAAI 2021] and Sparse Needlets for Lighting Estimation with Spherical Transport Loss [ICCV 2021]

im2oil

im2pcl

Height and Uprightness for 3D Prediction from a Single View

im2smpl

Predicts a SMPL model given a RGB image using clues from HMR, Simplify, AlphaPose, etc.

image-adaptive-3dlut

Learning Image-adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-time

image-and-video-dehazing

image-blur-map

A reproduction of the results of 'Estimating Spatially Varying Defocus Blur From A Single Image' by Zhu et. al.

image-composition-of-partially-occluded-objects

This paper solves the aforementioned challenges by proposing an efficient image composition method. Firstly, we extract the semantic contents of the images by using state-of-the-art deep learning methods. Therefore, the COI can be selected by only one click, which can greatly reduce the demanded user interactions.

image-contrast-enhancement

Python implementation of "A New Image Contrast Enhancement Algorithm Using Exposure Fusion Framework", CAIP2017

image-deblur-using-image-pairs

Image deblur is basically realized using Python, which based on methods desvribed by the paper "Image deblurring with blurred/noisy image pairs." Yuan etc,

image-enhancement

Image enhancement by deep learning and tensorflow mobile.

image-enhancement-about-retinex

image-filter

some filters (boxfilter, fast bilateral filter, fast guided filter and permutohedral bilateral filter)

image-processing-algorithm

paper implement