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- paper-review 9
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- computer-vision 8
- thinking 7
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- jekyll 3
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- 3dgs 3
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paper-review
- » From Orbit to Ground 논문 리뷰 — Generative City Photogrammetry from Extreme Off-Nadir Satellite Images
- » PnP Diffusion 논문 리뷰 — Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation
- » ToothFairy2 논문 리뷰 — 42-class CBCT Dataset과 Mamba 기반 Maxillofacial Segmentation
- » Depth Anything 3 논문 리뷰 — Single ViT로 Pose + Geometry를 Unified한 Foundation Model
- » ShadowGS 논문 리뷰 — Shadow를 Geometry Signal로 재정의한 Satellite 3DGS
- » EOGS++ 리뷰 — Satellite Gaussian Splatting의 End-to-End 가능성
- » DINOv3 논문 리뷰 — Self-Supervised Vision Foundation Model
- » LoFTR 논문 리뷰 — Detector-Free Local Feature Matching with Transformers
- » EOGS 논문 리뷰 — 3D Gaussian Splatting을 Satellite Photogrammetry에 적용
essay
computer-vision
- » 스테레오 매칭(Stereo Matching) 기초 — 두 영상에서 깊이를 복원하는 원리
- » 소형 객체 탐지에서 CNN vs Transformer, 뭐가 더 유리한가요?
- » From Orbit to Ground 논문 리뷰 — Generative City Photogrammetry from Extreme Off-Nadir Satellite Images
- » PnP Diffusion 논문 리뷰 — Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation
- » DINOv3 논문 리뷰 — Self-Supervised Vision Foundation Model
- » LoFTR 논문 리뷰 — Detector-Free Local Feature Matching with Transformers
- » EOGS 논문 리뷰 — 3D Gaussian Splatting을 Satellite Photogrammetry에 적용
- » Homography
thinking
remote-sensing
- » 소형 객체 탐지에서 CNN vs Transformer, 뭐가 더 유리한가요?
- » From Orbit to Ground 논문 리뷰 — Generative City Photogrammetry from Extreme Off-Nadir Satellite Images
- » ShadowGS 논문 리뷰 — Shadow를 Geometry Signal로 재정의한 Satellite 3DGS
- » EOGS 논문 리뷰 — 3D Gaussian Splatting을 Satellite Photogrammetry에 적용
jekyll
transformer
- » 소형 객체 탐지에서 CNN vs Transformer, 뭐가 더 유리한가요?
- » Depth Anything 3 논문 리뷰 — Single ViT로 Pose + Geometry를 Unified한 Foundation Model
- » LoFTR 논문 리뷰 — Detector-Free Local Feature Matching with Transformers
3d-reconstruction
- » 스테레오 매칭(Stereo Matching) 기초 — 두 영상에서 깊이를 복원하는 원리
- » From Orbit to Ground 논문 리뷰 — Generative City Photogrammetry from Extreme Off-Nadir Satellite Images
- » LoFTR 논문 리뷰 — Detector-Free Local Feature Matching with Transformers
productivity
deep-learning
- » 소형 객체 탐지에서 CNN vs Transformer, 뭐가 더 유리한가요?
- » PnP Diffusion 논문 리뷰 — Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation
- » DINOv3 논문 리뷰 — Self-Supervised Vision Foundation Model
3dgs
- » Depth Anything 3 논문 리뷰 — Single ViT로 Pose + Geometry를 Unified한 Foundation Model
- » ShadowGS 논문 리뷰 — Shadow를 Geometry Signal로 재정의한 Satellite 3DGS
- » EOGS++ 리뷰 — Satellite Gaussian Splatting의 End-to-End 가능성
psychology
python
ai
satellite
- » ShadowGS 논문 리뷰 — Shadow를 Geometry Signal로 재정의한 Satellite 3DGS
- » EOGS++ 리뷰 — Satellite Gaussian Splatting의 End-to-End 가능성
blog
depth-estimation
- » 스테레오 매칭(Stereo Matching) 기초 — 두 영상에서 깊이를 복원하는 원리
- » Depth Anything 3 논문 리뷰 — Single ViT로 Pose + Geometry를 Unified한 Foundation Model
llm
claude
ruby
bundler
para
organize
control
obsidian
data
- » 측정
homography
projective-geometry
3d-gaussian-splatting
feature-matching
uv
package-manager
fastapi
async
multiprocessing
gpu
inference-serving
threading
development
testing
self-supervised-learning
nerf
reconstruction
darkmode
disqus
search
adsense
claude
claude-code
leadership
retrospective
management
team
shadow
espanso
automation
open-source
multi-view
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medical-imaging
segmentation
mamba
dataset
cbct
nnunet
maxillofacial
api
pricing
gpt
gemini
deepseek
mistral
ai
agent
tool-use
diffusion
image-to-image
neural-rendering
- » From Orbit to Ground 논문 리뷰 — Generative City Photogrammetry from Extreme Off-Nadir Satellite Images