AI 공부 도전기

1. [논문 Summary] GaussianDreamer (CVPR 2024) "GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models" 1
   2024.10.28
2. [논문 Summary] DreamFusion (ICLR 2023) "DreamFusion: Text-to-3D using 2D Diffusion"
   2024.06.29
3. [논문 Summary] "Beyond Surface Statistics: Scene Representations in a Latent Diffusion Model" (NIPS 2023 Workshop)
   2024.06.16
4. [논문 Summary] LMD (TMLR 2024) "LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models"
   2024.06.09
5. [논문 Summary] BlobGEN (ICML 2024) "Compositional Text-to-Image Generation with Dense Blob Representations"
   2024.06.01
6. [논문 Summary] DreaMoving (2023.12 Arxiv) "DreaMoving: A Human Video Generation Framework based on Diffusion Models" 1
   2024.03.12
7. [논문 Summary] Animate Anyone (2023.11 Arxiv) "Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation"
   2024.03.11
8. [논문 Summary] SDXL-Turbo (ADD) (2023.11 Arxiv) "Adversarial Diffusion Distillation"
   2024.02.03
9. [논문 Summary] NeRF-W (2021 CVPR) "NeRF in the Wild : Neural Radiance Fields for Unconstrained Photo Collections" 1
   2024.01.21
10. [논문 Summary] Score based generative model with SDE (2021 ICLR) "Score-Based Generative Modeling through Stochastic Differential Equations"
    2024.01.16
11. [논문 Summary] D-NeRF (2021 CVPR) "D-NeRF: Neural Radiance Fields for Dynamic Scenes"
    2024.01.07
12. [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
13. [논문 Summary] AnimateDiff (2023.07 Arxiv) "AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Modelswithout Specific Tuning"
    2023.10.28
14. [논문 Summary] (2020 NIPS) "Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains"
    2023.10.09
15. [논문 Summary] MAE(Masked AutoEncoder) (2022 CVPR) "Masked Autoencoders Are Scalable Vision Learners" 2
    2023.10.08