Super Resolution
1.[Computer Vision] Super Light FSRCNN
Computer Vision 분야 중 하나인 Super Resolution에서 기존 FSRCNN과 FSRCNN-s 모델을 설명하고, 더욱 경량화된 FSRCNN-x 모델을 제안함
2.[Computer Vision] Light ESPCN
기존 ESPCN 모델을 살펴보고, 경량화시킨 Light ESPCN 모델을 제안함.
3.[Computer Vision] EDSR
Super Resolution의 EDSR 모델 소개
4.[Computer Vision] SRDenseNet
SRDenseNet "Image Super-Resolution Using Dense Skip Connections" DenseNet에서 제안되었던 dense block들은 high-level feature들을 추출하기 위해 사용되었고, skip connection들
5.[Computer Vision] DnCNN
"Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"
6.[Computer Vision] Neural Blind Deconvolution Using Deep Priors
Neural Blind Deconvolution Using Deep Priors 논문 정리
7.[Computer Vision] ESRGAN
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
8.[Computer Vision] Designing a Practical Degradation Model for Deep Blind Image Super-Resolution
BSRGAN | A blind image slimming model for real image degradation
9.[Computer Vision] Multi-Stage Progressive Image Restoration
MPRNet 모델 소개
10.[Computer Vision] StyleGAN
A Style-Based Generator Architecture for Generative Adversarial Networks 논문 리뷰
11.[Computer Vision] Super Resolution for Smartphones
Super Resolution for Smartphones <Keywords> Smartphone, Real-time Video Processing, Nyquist Frequency, Super Resolution
12.[Computer Vision] BasicVSR
BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond
13.[Computer Vision] SWAGAN
SWAGAN: A Style-based WAvelet-driven Generative Model
14.[Computer Vision] MobileStyleGAN
MobileStyleGAN: A Lightweight Convolutional Neural Network for High-Fidelity Image Synthesis