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UMEI's Projects

accv_tinygan icon accv_tinygan

BigGAN; Knowledge Distillation; Black-Box; Fast Training; 16x compression

adaattn icon adaattn

Officially unofficial PyTorch re-implementation of paper: AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer, ICCV 2021.

adain-style icon adain-style

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

adgan icon adgan

The Implementation of paper "Controllable Person Image Synthesis with Attribute-Decomposed GAN"

advsemiseg icon advsemiseg

Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018

animeresearchlist icon animeresearchlist

Papers, repository and other data about anime or manga research. Please let me know if you have information that the list does not include.

attention-module icon attention-module

Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"

awesome-pytorch-list icon awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

cast_pytorch icon cast_pytorch

Official implementation of the paper “Domain Enhanced Arbitrary Image Style Transfer via Contrastive Learning”(SIGGRAPH 2022)

cbam.pytorch icon cbam.pytorch

Non-official implement of Paper:CBAM: Convolutional Block Attention Module

ccpl icon ccpl

Official Pytorch implementation of CCPL and SCTNet (ECCV2022, Oral)

clade icon clade

Efficient Semantic Image Synthesis via Class-Adaptive Normalization (TPAMI 2021)

cocosnet icon cocosnet

Cross-domain Correspondence Learning for Exemplar-based Image Translation. (CVPR 2020 Oral)

cs231n-2017-summary icon cs231n-2017-summary

After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.

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