반응형
Trend
최신 논문 정리
Generation / Diffusion
- Diffusion Models Beat GANs on Image Synthesis (2021, OpenAI)
- Cascaded Diffusion Models for High Fidelity Image Generation (2021, Google)
- Hierarchical Text-Conditional Image Generation with CLIP Latents (DALL-E 2)
- Zero-Shot Text-to-Image Generation (DALL-E)
- Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding (Imagen)
- Adding Conditional Control to Text-to-Image Diffusion Models (ControlNet)
- Generative modeling by estimating gradients of the data distribution
- Improved techniques for training score-based generative
- Maximum likelihood training of score-based diffusion models
- 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
- GaussianEditor: Swift and Controllable 3D Editing with Gaussian Splatting
- Relightable 3D Gaussian: Real-time Point Cloud Relighting with BRDF Decomposition and Ray Tracing
- GS-IR: 3D Gaussian Splatting for Inverse Rendering
- Multi-Scale 3D Gaussian Splatting for Anti-Aliased Rendering
- GaussianShader: 3D Gaussian Splatting with Shading Functions for Reflective Surfaces
- NeuSG: Neural Implicit Surface Reconstruction with 3D Gaussian Splatting Guidance
- FSGS: Real-Time Few-shot View Synthesis using Gaussian Splatting
- An Efficient 3D Gaussian Representation for Monocular/Multi-view Dynamic Scenes
- Drivable 3D Gaussian Avatars
- Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splatting
- SplatArmor: Articulated Gaussian splatting for animatable humans from monocular RGB videos
- GaussianDiffusion: 3D Gaussian Splatting for Denoising Diffusion Probabilistic Models with Structured Noise
- Gaussian Head Avatar: Ultra High-fidelity Head Avatar via Dynamic Gaussians
- Mesh-based Gaussian Splatting for Real-time Large-scale Deformation
- Gaussian Splashing: Dynamic Fluid Synthesis with Gaussian Splatting
참고 페이지
etc.
- DreaMoving: A Human Video Generation Framework based on Diffusion Models
- PyNeRF: Pyramidal Neural Radiance Fields
- Mosaic-SDF for 3D Generative Models
- HybridNeRF: Efficient Neural Rendering via Adaptive Volumetric Surfaces
- Nuvo: Neural UV Mapping for Unruly 3D Representations
- SMERF: Streamable Memory Efficient Radiance Fields for Real-Time Large-Scene Exploration
반응형
'About me' 카테고리의 다른 글
Curriculum Vitae (2024.07.28 updated) (0) | 2024.07.28 |
---|---|
Book to-read list (0) | 2024.06.19 |
참고 페이지들 (0) | 2024.02.07 |
Github.io (0) | 2023.10.01 |
Curriculum Vitae (2023.10.01 updated) (0) | 2023.10.01 |