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Xintao's Projects

360sr-challenge icon 360sr-challenge

NTIRE 2023 Challenge on 360° Omnidirectional Image and Video Super-Resolution

basicsr-examples icon basicsr-examples

BasicSR-Examples illustrates how to easily use BasicSR in your own project

basictools icon basictools

Some basic tools, like drawing, processing files and etc.

dfdnet icon dfdnet

Blind Face Restoration via Deep Multi-scale Component Dictionaries (ECCV 2020)

dni icon dni

CVPR19 - Deep Network Interpolation for Continuous Imagery Effect Transition

docker_practice icon docker_practice

Learn and understand Docker technologies, with real DevOps practice!

edvr icon edvr

Winning Solution in NTIRE19 Challenges on Video Restoration and Enhancement (CVPR19 Workshops) - Video Restoration with Enhanced Deformable Convolutional Networks. EDVR has been merged into BasicSR and this repo is a mirror of BasicSR.

esrgan icon esrgan

ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.

ex-baiduyunpan icon ex-baiduyunpan

百度云盘、百度云盘企业版解除大文件限制,批量复制链接

facexlib icon facexlib

FaceXlib aims at providing ready-to-use face-related functions based on current STOA open-source methods.

flownet2-pytorch icon flownet2-pytorch

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

gan-qp icon gan-qp

GAN-QP: A Novel GAN Framework without Gradient Vanishing and Lipschitz Constraint

handyfigure icon handyfigure

HandyFigure provides the sources file (ususally PPT files) for paper figures

handyview icon handyview

Handy image viewer based on PyQt5. Convenient for viewing and comparing :-)

idinvert icon idinvert

ECCV'20 paper `In-Domain GAN Inversion for Real Image Editing` code

idinvert_pytorch icon idinvert_pytorch

ECCV'20 paper `In-Domain GAN Inversion for Real Image Editing` code (PyTorch version)

labelme icon labelme

Annotation Tool for Object Segmentation.

maskrcnn-benchmark icon maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

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