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 |
Tags
- learning to prompt
- Markov transition matrix
- timm
- L2P
- VQ-diffusion
- Vector Quantized Diffusion Model for Text-to-Image Synthesis
- PnP algorithm
- 베이지안 정리
- state_dict()
- Facial Landmark Localization
- prompt learning
- Mask-and-replace diffusion strategy
- CIL
- Face Pose Estimation
- DualPrompt
- requires_grad
- learning to prompt for continual learning
- Discrete diffusion
- VQ-VAE
- Face Alignment
- CVPR2022
- Mask diffusion
- img2pose: Face Alignment and Detection via 6DoF
- Img2pose
- Energy-based model
- ENERGY-BASED MODELS FOR CONTINUAL LEARNING
- mmcv
- Class Incremental Learning
- Continual Learning
- Class Incremental
Archives
- Today
- Total
Computer Vision , AI
[One-page summary] TextTo 4D Dynamic Scene Generation by Singer et al. 본문
Paper_review[short]
[One-page summary] TextTo 4D Dynamic Scene Generation by Singer et al.
Elune001 2024. 1. 16. 00:29● Summary: Zero-shot 4D generation(time + 3D) using text prompt
● Approach highlight
-
HexPlane: represents a 4D scene with six planes of feature vectors spanning all pairs of axes in {X,Y,Z,T}.
-
To train Scene optimization, Project the rendered result, and denoising with text embedding and use this loss to train Scene optimization
● Main Results
● Discussion
- Limitations of representing complex or dynamic behaviors