Skip to content
/ TIL Public

Today I Learned . 내가 학습한 것들은 모두 문서로 남기고 다시 확인해볼 예정이다.

Notifications You must be signed in to change notification settings

kyugorithm/TIL

Repository files navigation

TIL

  • 기록은 모든것의 기본이다. 보고 배운것과 해본것들을 꾸준히 남기도록 한다.

Principles

  • 양이 적더라도 매일 업데이트 하려고 노력하자. 꾸준함이 중요하다.
  • 다시 보았을 때 불편함이 없도록 명료하게 작성한다.
  • 이론본다고 코드공부도 게을리하지 않기~!

정리필요 목록 : Last updated 2022/01/11

(2021) StyTr^2: Unbiased Image Style Transfer with Transformers  
(2021) GPEN : GAN Prior Embedded Network for Blind Face Restoration in the Wild
(2020) NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis  
  
(2020) Neural Head Reenactment with Latent Pose Descriptors
(2020) First Order Model for Image Animation
(2020) One-Shot Free-View Neural Talking-Head Synthesis for Video Conferencing 
(2020) DataAugmentation : Fair Attribute Classification through Latent Space De-biasing
  
Face swap/reenactment
(2018) RSGAN: Face Swapping and Editing using Face and Hair Representation in Latent Spaces
(2018) ReenactGAN: Learning to Reenact Faces via Boundary Transfer
(2016) Face2Face: Real-time Face Capture and Reenactment of RGB Videos

(2016) Loss Functions for Image Restoration with Neural Networks ; L1 vs L2 vs SSIM family

Neural Rendering

(2020) State of the Art on Neural Rendering

3DMM

(2020) StyleRig : Rigging StyleGAN for 3D Control over Portrait Images
(1999) A Morphable Model For The Synthesis Of 3D Faces

Anomaly Detection

(2019) OCGAN: One-class Novelty Detection Using GANs with Constrained Latent
(2018) DeepAnT: A Deep Learning Approach for Unsupervised Anomaly Detection in Time Series
(2018) GANomaly : Semi-Supervised Anomaly Detection via Adversarial Training
(2017) AnoGAN : Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery  

Battery

(2019) Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review

CAM

(2020) Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias
(2016) Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
(2015) CAM : Learning Deep Features for Discriminative Localization

Classification

(2020) How Much Position Information Do Convolutional Neural Networks Encode?
(2018) ArcFace: Additive Angular Margin Loss for Deep Face Recognition

Colorization

(2017) RTUG : Real-Time User-Guided Image Colorization with Learned Deep Priors

Data Augmentation

(2021) StyleMix : Separating Content and Style for Enhanced Data Augmentation

FaceSwap

(2021) HifiFace: 3D Shape and Semantic Prior Guided High Fidelity Face Swapping
(2021) SimSwap: An Efficient Framework For High Fidelity Face Swapping
(2020) DeepFaceLab: Integrated, flexible and extensible face-swapping framework
(2019) FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping
(2019) FSGAN: Subject Agnostic Face Swapping and Reenactment

(2017) On Face Segmentation, Face Swapping, and Face Perception

Generative Model

(2014) Generative Adversarial Networks  

I2I translation

(2021) Not just Compete, but Collaborate: Local Image-to-Image Translation via Cooperative Mask Prediction
(2020) AttentionGAN: Unpaired Image-to-Image Translation using Attention-Guided Generative Adversarial Networks
(2020) GANHopper : Multi-Hop GAN for Unsupervised Image-to-Image Translation
(2019) U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for I2I Translation
(2019) StarGAN v2: Diverse Image Synthesis for Multiple Domains
(2019) AMGAN : Attribute Manipulation Generative Adversarial Networks for Fashion Images
(2018) StarGAN : Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
(2018) Ganimorph : Improving Shape Deformation in Unsupervised I2I Translation
(2017) CycleGAN : Unpaired Image-to-Image Translation using Cycle-Consistent

Image Synthesis

(2021) StyleGAN v3 : Alias-Free Generative Adversarial Networks
(2021) StyleMapGAN : Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing : TBD
(2020) A U-Net Based Discriminator for Generative Adversarial Networks
(2020) StyleGAN v2 : Analyzing and Improving the Image Quality of StyleGAN
(2019) StyleGAN v1 : A Style-Based Generator Architecture for Generative Adversarial Networks
(2019) MSGAN : Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis
(2019) MSG-GAN: Multi-Scale Gradients for Generative Adversarial Networks 
(2018) PGGAN : Progressive Growing of GANs for Improved Quality, Stability, and Variation
(2016) Improved Techniques for Training GANs : **TBD**

LypSync

(2017) Audio-Driven Facial Animation by Joint End-to-End Learning of Pose and Emotion : TBD

Normalization

(2016) Layer Normalization

3D Human Pose Estimation

(2022) MixSTE: Seq2seq Mixed Spatio-Temporal Encoder for 3D Human Pose Estimation in Video
(2021) Improving Robustness and Accuracy via Relative Information Encoding in 3D Human Pose Estimation
(2021) MoVNect : Lightweight 3D Human Pose Estimation Network Training Using Teacher-Student Learning
(2017) VNect: Real-time 3D Human Pose Estimation with a Single RGB Camera
(2006) Recovering 3D Human Pose from Monocular Images

Self Attention

(2018) CBAM: Convolutional Block Attention Module
(2018) BAM: Bottleneck Attention Module” , in BMVC 2018

Syle Transfer

(2021) StyTr^2: Unbiased Image Style Transfer with Transformers
(2017) Arbitrary Style Transfer in Real-time with Adaptive Instance
(2016) Image Style Transfer Using Convolutional Neural Networks
(2001) Image Analogies

Time Series

(2019) TimeGAN : Time-series Generative Adversarial Networks
(2017) RCGAN : REAL-VALUED (MEDICAL) TIME SERIES GENERATION WITH RECURRENT CONDITIONAL GANS

WSSS

(2020) Unsupervised Learning of Image Segmentation Based on Differentiable Feature Clustering

Attention

(2019) Stand-Alone Self-Attention in Vision Models

Object Detection

(2021) Dynamic Head: Unifying Object Detection Heads with Attentions

Dataset

(2017) VGGFace2: A dataset for recognising faces across pose and age

Animation

(2020) First Order Motion Model for Image Animation

Novel View Synthesis

(2020) NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

2. 그외 이론및 모델

Graphical Model? : 상태를 가지는 모델에서 directed/indirected graphical model의 개념이 자주 등장한다.
Restricted Boltzmann Machine : 깊은 신경망에서 학습이 잘 되지 않는 문제를 해결하기 위해 Geoffrey Hinton 교수님이 제안하신 방법론
Gradient vanishing을 사전학습으로 풀어낸다. 이를 통해 DL이 다시 활기를 되찾았다. Generative 계열을 이해하기 위해서는 이해 필수 MCMC(Monte Carlo Markov Chain) : 샘플링 방법론 Pytorch Manual : 파이토치 사용매뉴얼

Text book

[Machine Learning : A Probabilistic Perspective][t_link001] : ML의 바이블이라고 생각하는 책이다. 언젠간 보고 정리해야겠다고 생각했는데, 언제 다볼 수 있을지...

3. Coursera

VL_낭독체_001.zip

About

Today I Learned . 내가 학습한 것들은 모두 문서로 남기고 다시 확인해볼 예정이다.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published