Computer Visions


🖼 Generative Adversarial Networks : Paper Review (Github)

GAN Basics

Conditional GAN

GAN Architecture

Text-to-Image

Improved Training Techniques

GAN Inversion

  1. Latent Optimization
  2. Encoder
  3. Hybrid approach

Disentangled Manipulation

Image Editing

Webtoon/Anime GAN & Image Blending

Super Resolution

  • BSRGAN: Designing a Practical Degradation Model for Deep Blind Image Super-Resolution (ICCV 2021) : arxiv, code
  • Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data (ICCVW 2021): arxiv, code

Sketch based Generation

3D GAN & Rendering


😊 Talking Head : Paper list

Landmark-based Model

Warping-based Model


📒 CS231n 강의 노트

스탠포드 대학교의 딥러닝 강의인 cs231n을 요약한 내용입니다.

1 - Introduction to Convolutional Neural Networks for Visual Recognition

2 - Image Classfication pipeline

3 - Loss Functions and Optimization

4 - Backpropagation and Neural Networks

5 - Convolutional Neural Networks

6 - Training Neural Networks (1)