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