jamekuma Goto Github PK

ai-deadlines

:alarm_clock: AI conference deadline countdowns

apsnet

basicsr

Open Source Image and Video Restoration Toolbox, especially for Super-Resolution, including EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, etc. Also support StyleGAN2, DFDNet.

cips

Official repository for the paper "Image Generators with Conditionally-Independent Pixel Synthesis" (CVPR2021, Oral)

classsr

(CVPR2021) ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic

database_lab2

数据库实验二

dl_lab2

深度学习实验2

dl_lab3

深度学习实验3

dl_lab4

深度学习实验4

dl_lab5

深度学习实验5

double_dip

Double DIP复现

edsr-pytorch

PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

few-shot

Repository for few-shot learning machine learning projects

few-shot-meta-baseline

Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021

fingat

hit_2018_csapp

计算机系统课做的实验

hit_data_structure

数据结构与算法课的实验、作业代码，以及课堂ppt

ignn

Code repo for "Cross-Scale Internal Graph Neural Network for Image Super-Resolution" (NeurIPS'20)

ikc

Implementation of 'Blind Super-Resolution With Iterative Kernel Correction' (CVPR2019)

images

markdown images

inr-gan

Adversarial Generation of Continuous Images [CVPR 2021]

invertible-image-rescaling

Implementation of paper: Invertible Image Rescaling

jamekuma.github.io

My Blog

learning3d

This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).

liif

Learning Continuous Image Representation with Local Implicit Image Function, in CVPR 2021 (Oral)

loss_function_search

Loss Function Search for Face Recognition

meta-sr-pytorch

Meta-SR: A Magnification-Arbitrary Network for Super-Resolution (CVPR2019)

metasampler

[ECCV 2022] Meta-Sampler: Almost Universal yet Task-Oriented Sampling for Point Clouds

mycomplier

哈工大2020年春季学期编译系统实验

myinnsr

本科毕设