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
- emerdiff
- transformer
- DP
- diffusion model
- 3d generation
- image editing
- video editing
- BOJ
- 네이버 부스트캠프 ai tech 6기
- 코테
- 프로그래머스
- visiontransformer
- 코딩테스트
- controlnext
- segmenation map generation
- segmentation map
- score distillation
- magdiff
- diffusion models
- diffusion
- controllable video generation
- 논문리뷰
- Python
- style align
- Programmers
- VirtualTryON
- 3d editing
- Vit
- video generation
- dreammotion
Archives
- Today
- Total
목록controlnext (1)
평범한 필기장
[평범한 학부생이 하는 논문 리뷰] ControlNeXt: Powerful and Efficient Control for Image and Video Generation (arXiv 2408)
Paper : https://arxiv.org/abs/2408.06070 ControlNeXt: Powerful and Efficient Control for Image and Video GenerationDiffusion models have demonstrated remarkable and robust abilities in both image and video generation. To achieve greater control over generated results, researchers introduce additional architectures, such as ControlNet, Adapters and ReferenceNet, to intearxiv.orgGithub : https://g..
AI/Diffusion Models
2024. 11. 29. 17:02