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
- Python
- magic clothing
- text2room
- Vit
- posterior distillation sampling
- insturctnerf2nerf
- instructany2pix
- text-to-video diffusion
- dreamfusion
- DP
- 3d gaussian splatting
- objectdrop
- sonicdiffusion
- 코딩테스트
- VirtualTryON
- 3d editing
- BOJ
- 프로그래머스
- dreamgaussian
- sound-to-image generation
- Programmers
- 3d editting
- diffusion
- 3d generation
- visiontransformer
- 코테
- 논문리뷰
- 네이버 부스트캠프 ai tech 6기
- transformer
- novel view synthesis
Archives
- Today
- Total
목록dreamgaussian (1)
평범한 필기장
[평범한 학부생이 하는 논문 리뷰] DreamGaussian : Generative Gaussian Splatting for Efficient 3D Content Creation (ICLR 2024 oral)
https://arxiv.org/abs/2309.16653 DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content CreationRecent advances in 3D content creation mostly leverage optimization-based 3D generation via score distillation sampling (SDS). Though promising results have been exhibited, these methods often suffer from slow per-sample optimization, limiting their practiarxiv.org1. Introduction 최근 3D ..
AI/3D
2024. 7. 2. 11:52