아이공의 AI 공부 도전기

1. [논문 Summary] DreaMoving (2023.12 Arxiv) "DreaMoving: A Human Video Generation Framework based on Diffusion Models" 1
   2024.03.12
2. [논문 Summary] Animate Anyone (2023.11 Arxiv) "Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation"
   2024.03.11
3. [논문 Summary] 3DGS (2023 SIGGRAPH) "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
   2024.02.12
4. [논문 Summary] SDXL-Turbo (ADD) (2023.11 Arxiv) "Adversarial Diffusion Distillation"
   2024.02.03
5. [논문 Summary] Nerfies (2021 ICCV) "Nerfies: Deformable Neural Radiance Fields"
   2024.01.27
6. [논문 Summary] NeRF-W (2021 CVPR) "NeRF in the Wild : Neural Radiance Fields for Unconstrained Photo Collections" 1
   2024.01.21
7. [논문 Summary] D-NeRF (2021 CVPR) "D-NeRF: Neural Radiance Fields for Dynamic Scenes"
   2024.01.07
8. [논문 Summary] Tune-A-Video (2023 ICCV) "Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation"
   2023.11.10
9. [논문 Summary] AnimateDiff (2023.07 Arxiv) "AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Modelswithout Specific Tuning"
   2023.10.28
10. [논문 Summary] (2020 NIPS) "Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains"
    2023.10.09
11. [논문 Summary] MAE(Masked AutoEncoder) (2022 CVPR) "Masked Autoencoders Are Scalable Vision Learners" 2
    2023.10.08
12. [논문 Summary] PerSAM (2023.05 arxiv) "Personalize Segment Anything Model with One Shot" 1
    2023.08.31
13. [논문 Summary] Animated Drawings (2023 SIGGRAPH) "A Method for Animating Children's Drawings of the human Figure"
    2023.08.30
14. [논문 Summary] DreamPose (2023.04 arxiv) "DreamPose: Fashion Image-to-Video Synthesis via Stable Diffusion"
    2023.08.30
15. [논문 Summary] ControlNet (2023.02 arxiv) "Adding Conditional Control to Text-to-Image Diffusion Models"
    2023.06.11
16. [논문 Summary] InstructPix2Pix (2023 CVPR) "InstructPix2Pix: Learning to Follow Image Editing Instructions"
    2023.05.14
17. [논문 Summary] DiffEdit (2022.10 arxiv) "DiffEdit: Diffusion-based semantic image editing with mask guidance"
    2023.04.24
18. [논문 Summary] CharNet (2019 ICCV) "Convolutional Character Networks"
    2023.04.23
19. [논문 Summary] Deformable DETR (2021 ICLR Oral) "Deformable DETR: Deformable Transformers for End-to-End Object Detection"
    2023.04.19
20. [논문 Summary] FamNet (2021 CVPR) "Learning To Count Everything"
    2023.03.04
21. [논문 Summary] CFOCNet (2021 WACV) "Class-agnostic Few-shot Object Counting"
    2023.02.28
22. [논문 Summary] SAFECount(2023 WACV) "Few-shot Object Counting with Similarity-Aware Feature Enhancement"
    2023.02.28
23. [논문 Summary] CSPNet (2020 CVPR) "CSPNet: A New Backbone that can Enhance Learning Capability of CNN"
    2023.01.15
24. [논문 Summary] CutMix (2019 ICCV) "CutMix : Regularization Strategy to Train Strong Classifiers with Localizable Features"
    2023.01.14
25. [논문 Summary] P2PNet (2021 ICCV) "Rethinking Counting and Localization in Crowds_A Purely Point-Based Framework"
    2022.12.31
26. [논문 Summary] DDIM (2021 ICLR) "Denoising Diffusion Implicit Models"
    2022.12.31
27. [논문 Summary] CSRNet (2018 CVPR) "CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes"
    2022.12.15
28. [논문 Summary] NCSN (2019 NIPS) "Generative Modeling by Estimating Gradients of the data distribution"
    2022.12.08
29. [논문 Summary] DDPM (2020 NIPS) "Denoising diffusion probabilistic models"
    2022.12.08
30. [논문 Summary] Diffusion model 시초 (2015 ICML) "Deep Unsupervised Learning Using Nonequilibrium Thermodynamics"
    2022.08.03