# Nvidia 연구팀의 2023년도 많은 관심을 받은 10가지 연구

> Clean Markdown view of GeekNews topic #12524. Use the original source for factual precision when an external source URL is present.

## Metadata

- GeekNews HTML: [https://news.hada.io/topic?id=12524](https://news.hada.io/topic?id=12524)
- GeekNews Markdown: [https://news.hada.io/topic/12524.md](https://news.hada.io/topic/12524.md)
- Type: news
- Author: [haebom](https://news.hada.io/@haebom)
- Published: 2023-12-25T18:03:29+09:00
- Updated: 2023-12-25T18:03:29+09:00
- Original source: [x.com](https://x.com/DrJimFan/status/1738613195173159187?s=20)
- Points: 6
- Comments: 1

## Topic Body

- Neuralangelo: stunning high-fidelity 3D surface reconstruction.  
https://research.nvidia.com/labs/dir/neuralangelo/  
- Magic3D: text-to-3D is coming fast!  
https://research.nvidia.com/labs/dir/magic3d/  
- Hair Simulation: efficient simulation of Discrete Elastic Rods (DER) for hair. This isn't quite an AI work, but very visually appealing.   
https://research.nvidia.com/.../2023-08_interactive-hair...  
- Eureka: GPT-4 teaches a 5-finger robot hand how to spin pens better than I do! This is my team's work on bridging the gap between high-level reasoning and low-level dexterity.  
https://eureka-research.github.io/  
- Align Your Latents: high-resolution video synthesis with latent diffusion models. One of the best video generation works in 2023, coauthored by a few OG authors of Stable Diffusion.   
https://research.nvidia.com/labs/toronto-ai/VideoLDM/  
- Text2Materials: text prompt to generate materials like brick or mosaic that are tileable and seamlessly replicated over a surface of any size.  
https://blogs.nvidia.com/.../siggraph-research.../  
- CALM: a method to train steerable virtual characters to perform acts in a physics simulation.  
https://research.nvidia.com/labs/par/calm/  
- Vid2Player3D: learning Tennis skills for virtual characters!   
https://research.nvidia.com/labs/toronto-ai/vid2player3d/  
- Flexicubes: efficient and high-quality mesh optimization.   
https://research.nvidia.com/labs/toronto-ai/flexicubes/  
- eDiff-I: Text-to-Image diffusion with ensemble of expert denoisers.  
https://research.nvidia.com/labs/dir/eDiff-I/

## Comments



### Comment 21735

- Author: friendship1
- Created: 2023-12-26T17:12:35+09:00
- Points: 1

... 으로 끝나는 interactive-hair... 와 siggraph-research... 링크가 잘못 연결되어있네요.  
  
각각   
https://research.nvidia.com/publication/2023-08_interactive-hair-simulation-gpu-using-admm  
https://blogs.nvidia.com/blog/siggraph-research-generative-ai-materials-3d-scenes/  
입니다.