아이공의 AI 공부 도전기

1. [논문 Summary] InstructPix2Pix (2023 CVPR) "InstructPix2Pix: Learning to Follow Image Editing Instructions"
   2023.05.14
2. [논문 Summary] DiffEdit (2022.10 arxiv) "DiffEdit: Diffusion-based semantic image editing with mask guidance"
   2023.04.24
3. [논문 Summary] CharNet (2019 ICCV) "Convolutional Character Networks"
   2023.04.23
4. [논문 Summary] Deformable DETR (2021 ICLR Oral) "Deformable DETR: Deformable Transformers for End-to-End Object Detection"
   2023.04.19
5. [논문 Summary] FamNet (2021 CVPR) "Learning To Count Everything"
   2023.03.04
6. [논문 Summary] CFOCNet (2021 WACV) "Class-agnostic Few-shot Object Counting"
   2023.02.28
7. [논문 Summary] SAFECount(2023 WACV) "Few-shot Object Counting with Similarity-Aware Feature Enhancement"
   2023.02.28
8. [논문 Summary] CSPNet (2020 CVPR) "CSPNet: A New Backbone that can Enhance Learning Capability of CNN"
   2023.01.15
9. [논문 Summary] CutMix (2019 ICCV) "CutMix : Regularization Strategy to Train Strong Classifiers with Localizable Features"
   2023.01.14
10. [논문 Summary] P2PNet (2021 ICCV) "Rethinking Counting and Localization in Crowds_A Purely Point-Based Framework"
    2022.12.31
11. [논문 Summary] DDIM (2021 ICLR) "Denoising Diffusion Implicit Models"
    2022.12.31
12. [논문 Summary] CSRNet (2018 CVPR) "CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes"
    2022.12.15
13. [논문 Summary] NCSN (2019 NIPS) "Generative Modeling by Estimating Gradients of the data distribution"
    2022.12.08
14. [논문 Summary] DDPM (2020 NIPS) "Denoising diffusion probabilistic models"
    2022.12.08
15. [논문 Summary] Diffusion model 시초 (2015 ICML) "Deep Unsupervised Learning Using Nonequilibrium Thermodynamics"
    2022.08.03