Notice
Recent Posts
Recent Comments
Link
| 일 | 월 | 화 | 수 | 목 | 금 | 토 |
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| 13 | 14 | 15 | 16 | 17 | 18 | 19 |
| 20 | 21 | 22 | 23 | 24 | 25 | 26 |
| 27 | 28 | 29 | 30 | 31 |
Tags
- 논문리뷰
- 3d editing
- Vit
- image generation
- BOJ
- memorization
- flow matching models
- diffusion
- VirtualTryON
- 3d generation
- ddim inversion
- video editing
- Flux
- image editing
- rectified flow
- 프로그래머스
- Python
- transformer
- 코딩테스트
- diffusion model
- flow matching
- 코테
- video generation
- Programmers
- rectified flow matching models
- 네이버 부스트캠프 ai tech 6기
- visiontransformer
- diffusion models
- DP
- inversion
Archives
- Today
- Total
목록2025/07/06 (1)
평범한 필기장
[평범한 학부생이 하는 논문 리뷰] ReFlex: Text-Guided Editing of Real Images in Rectified Flow via Mid-Step Feature Extraction and Attention Adaptation (ICCV 2025)
Paper : https://arxiv.org/abs/2507.01496 ReFlex: Text-Guided Editing of Real Images in Rectified Flow via Mid-Step Feature Extraction and Attention AdaptationRectified Flow text-to-image models surpass diffusion models in image quality and text alignment, but adapting ReFlow for real-image editing remains challenging. We propose a new real-image editing method for ReFlow by analyzing the interme..
AI/Generative Models
2025. 7. 6. 21:37