YooJin Jang (hellog2n)

hellog2n

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Location:Seoul, Republic of Korea

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YooJin Jang's repositories

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hellog2n

This is repository about Me.

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IITP

IITP code share

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gen-vlkt

Code for our CVPR 2022 Paper "GEN-VLKT: Simplify Association and Enhance Interaction Understanding for HOI Detection"

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ImageShortcutSqueezing

Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression

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style-transformer

Official implementation for "Style Transformer for Image Inversion and Editing" (CVPR 2022)

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phenaki-pytorch

Implementation of Phenaki Video, which uses Mask GIT to produce text guided videos of up to 2 minutes in length, in Pytorch

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SWU-VCD-2021

์„œ์šธ์—ฌ์ž๋Œ€ํ•™๊ต ์‹œ๊ฐ๋””์ž์ธํ•™๊ณผ 2021 ์กธ์—…์ „์‹œ ์›น์‚ฌ์ดํŠธ ์˜ˆ์‹œ

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eqgan-sa

[CVPR 2022] Improving GAN Equilibrium by Raising Spatial Awareness

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Example-Tensorflow-Python

ํ…์„œํ”Œ๋กœ ์˜ˆ์ œ ๋”ฐ๋ผํ•ด๋ณด๊ธฐ

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pytorch-grad-cam

Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Examples for classification, object detection, segmentation, embedding networks and more. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM

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projected_gan

[NeurIPS'21] Projected GANs Converge Faster

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evaluation-medical-imaging

evaluation medical imaging

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deep-generative-prior

Code for deep generative prior (ECCV2020 oral)

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improved-precision-and-recall-metric

Improved Precision and Recall Metric for Assessing Generative Models - Official TensorFlow Implementation

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pytorch-fid

Compute FID scores with PyTorch.

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Progressive_Growing_of_GANs-PyTorch

A PyTorch 0.4 implementation of Progressive Growing of GANs for Improved Quality, Stability and Variability (https://arxiv.org/abs/1710.10196)

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StyleTransfer

Implementation of "Perceptual Losses for Real-Time Style Transfer and Super-Resolution" in PyTorch

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precision-recall-distributions

Assessing Generative Models via Precision and Recall (official repository)

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SmartMultitap

2018๋…„ IoT ํ”„๋กœ๊ทธ๋ž˜๋ฐ ์Šค๋งˆํŠธ๋ฉ€ํ‹ฐํƒญ ๊ตฌํ˜„ ์†Œ์Šค ์ฝ”๋“œ

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Metal-Examples

Apple์˜ ๊ทธ๋ž˜ํ”ฝ API์ธ Metal์„ ์—ฐ์Šตํ•˜๊ธฐ ์œ„ํ•œ ๋ ˆํฌ์ง€ํ† ๋ฆฌ ์ž…๋‹ˆ๋‹ค

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Image-Processing

์˜์ƒ ์ฒ˜๋ฆฌ ๊ณผ์ œ ๋ชจ์Œ

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twoshotVoice

์˜์ƒํ†ตํ™” ๊ธฐ๋Šฅ์„ ํ…Œ์ŠคํŠธ ํ•ด๋ณด๊ธฐ ์œ„ํ•ด ๋งŒ๋“ค์—ˆ๋‹ค.

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ios-swift-objc-questions-and-answers

iOS (swift, objc)๊ฐœ๋ฐœ์„ ํ•˜๋ฉด์„œ ์•Œ๊ฒŒ๋œ ์งˆ๋ฌธ๊ณผ ๋‹ต๋ณ€ ๋ชจ์Œ.๐Ÿ˜€

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gfmn

Pytorch code for "Learning Implicit Generative Models by Matching Perceptual Features", ICCV 2019

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UIEffectTest

Xcode UI Test Examples

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