About me

Paper to-read list (2023.12.03~)

침닦는수건 2024. 2. 16. 11:21
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Trend

최신 논문 정리 

https://www.emergentmind.com/

 

 


Generation / Diffusion

  1. Diffusion Models Beat GANs on Image Synthesis (2021, OpenAI)
  2. Cascaded Diffusion Models for High Fidelity Image Generation (2021, Google) 
  3. Hierarchical Text-Conditional Image Generation with CLIP Latents (DALL-E 2) 
  4. Zero-Shot Text-to-Image Generation (DALL-E)
  5. Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding (Imagen)
  6. Adding Conditional Control to Text-to-Image Diffusion Models (ControlNet)
  7. Generative modeling by estimating gradients of the data distribution
  8. Improved techniques for training score-based generative
  9. Maximum likelihood training of score-based diffusion models
  10. Score-based generative modeling through stochastic differential equations

 

참고 리뷰 페이퍼

https://arxiv.org/pdf/2306.04542.pdf

 

참고 페이지

https://github.com/wangkai930418/awesome-diffusion-categorized

https://github.com/kwonminki/One-sentence_Diffusion_summary?tab=readme-ov-file

 

참고 영상

https://www.cloudskillsboost.google/course_templates/541

https://www.cloudskillsboost.google/course_templates/536

https://www.youtube.com/watch?v=uFoGaIVHfoE


Language

1. Learning Transferable Visual Models From Natural Language Supervision (CLIP)

2. LLaMA: Open and Efficient Foundation Language Models

3. LLaVA: Large Language and Vision Assistant

4. 그냥 아래 페이지 따라서 읽어야 겠다.

 

참고 페이지

https://github.com/Hannibal046/Awesome-LLM

 

참고 영상

https://www.cloudskillsboost.google/course_templates/539


3D gaussian

  1. GaussianEditor: Swift and Controllable 3D Editing with Gaussian Splatting
  2. Relightable 3D Gaussian: Real-time Point Cloud Relighting with BRDF Decomposition and Ray Tracing
  3. GS-IR: 3D Gaussian Splatting for Inverse Rendering
  4. Multi-Scale 3D Gaussian Splatting for Anti-Aliased Rendering
  5. GaussianShader: 3D Gaussian Splatting with Shading Functions for Reflective Surfaces
  6. NeuSG: Neural Implicit Surface Reconstruction with 3D Gaussian Splatting Guidance
  7. FSGS: Real-Time Few-shot View Synthesis using Gaussian Splatting
  8. An Efficient 3D Gaussian Representation for Monocular/Multi-view Dynamic Scenes
  9. Drivable 3D Gaussian Avatars
  10. Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splatting
  11. SplatArmor: Articulated Gaussian splatting for animatable humans from monocular RGB videos
  12. GaussianDiffusion: 3D Gaussian Splatting for Denoising Diffusion Probabilistic Models with Structured Noise
  13. Gaussian Head Avatar: Ultra High-fidelity Head Avatar via Dynamic Gaussians
  14. Mesh-based Gaussian Splatting for Real-time Large-scale Deformation
  15. Gaussian Splashing: Dynamic Fluid Synthesis with Gaussian Splatting

 

참고 페이지

https://github.com/MrNeRF/awesome-3D-gaussian-splatting#seminal-paper-introducing-3d-gaussian-splatting

 

GitHub - MrNeRF/awesome-3D-gaussian-splatting: Curated list of papers and resources focused on 3D Gaussian Splatting, intended t

Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months. - GitHub - MrNeRF/awesome-3D-gaussian-splat...

github.com


etc.

  1. DreaMoving: A Human Video Generation Framework based on Diffusion Models
  2. PyNeRF: Pyramidal Neural Radiance Fields
  3. Mosaic-SDF for 3D Generative Models
  4. HybridNeRF: Efficient Neural Rendering via Adaptive Volumetric Surfaces
  5. Nuvo: Neural UV Mapping for Unruly 3D Representations
  6. SMERF: Streamable Memory Efficient Radiance Fields for Real-Time Large-Scene Exploration
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