ykshi

text-style-transfer-benchmark

Text style transfer benchmark

DDet

Dual-path Dynamic Enhancement Network for RealSR, IEEE SPL 2020

facehallucination

Attention-Aware Face Hallucination via Deep Reinforcement Learning, CVPR-17

SPNet

Structure-Preserving Image Super-Resolution via Contextualized Multitask Learning, T-MM 2017.

VehicleMAE

[AAAI-2024] Structural Information Guided Multimodal Pre-training for Vehicle-centric Perception, Xiao Wang, Wentao Wu, Chenglong Li, Zhicheng Zhao, Zhe Chen, Yukai Shi, Jin Tang

ekf-imu-depth

[ECCV 2022] Towards Scale-Aware, Robust, and Generalizable Unsupervised Monocular Depth Estimation by Integrating IMU Motion Dynamics

FQ-GAN

Official implementation of FQ-GAN

NaveGo

NaveGo: an open-source MATLAB/GNU Octave toolbox for processing integrated navigation systems and performing inertial sensors analysis.

pix2pixzero.github.io

website

ykshi.github.io

cutblur

Rethinking Data Augmentation for Image Super-resolution (CVPR 2020)

DRIT

Learning diverse image-to-image translation from unpaired data

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

graph-text-style-transfer

Texar (tf-backend) implementation of "GTAE: Graph-Transformer Based Auto Encoder for Text Style Transfer"

lsun

LSUN Dataset Documentation and Demo Code

mmsr

Open MMLab Image and Video Super-Resolution Toolbox, , including SRResNet, SRGAN, ESRGAN, EDVR, etc.

RCAN

PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

RealSR

[Unofficial implementation] Toward Real-World Single Image Super-Resolution: A New Benchmark and A New Model (ICCV 2019)

ResumeSample

Resume template for Chinese programmers . 程序员简历模板系列。包括PHP程序员简历模板、iOS程序员简历模板、Android程序员简历模板、Web前端程序员简历模板、Java程序员简历模板、C/C++程序员简历模板、NodeJS程序员简历模板、架构师简历模板以及通用程序员简历模板

RWSR-EDL

Codes for "Real-World Image Super-Resolution by Exclusionary Dual-Learning" (TMM 2022)

Target-Guided-Conversation

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.