
[![NeRF Excavator](null)](https://chat.openai.com/g/g-CGr4nqtmF-nerf-excavator)

# NeRF Excavator [ChatGPT Plus](https://chat.openai.com/g/g-CGr4nqtmF-nerf-excavator) / [Search ChatGPT Free](https://gptcall.net/index.html#/?search=NeRF%20Excavator)

NeRF Excavator is a helpful App for researchers and enthusiasts interested in NeRF (Neural Radiance Fields) technology. It provides a concise guide summarizing the top papers and aiding in research. With access to knowledge and a collection of prompt starters, users can explore various aspects of NeRF and stay up to date with the latest research. The App's welcome message sets a friendly tone and invites users to embark on a concise exploration of NeRF papers and research ideas. Additionally, the App offers tools like DALL-E and a browser for a seamless research experience.

## Example prompts

1. **Prompt 1:** "Can you summarize a key NeRF paper from ICCV?"

2. **Prompt 2:** "Is there existing research on this NeRF idea?"

3. **Prompt 3:** "Can you explain Gaussian Splatting in NeRF?"

4. **Prompt 4:** "Please list influential NeRF papers from CVPR."

## Features and commands

1. Summarize a key NeRF paper from ICCV: This command prompts the ChatGPT App to provide a concise summary of a key NeRF (Neural Radiance Fields) paper from the ICCV (International Conference on Computer Vision).

2. Is there existing research on this NeRF idea?: This command allows users to inquire about the availability of previous research on a specific NeRF idea or concept. The App will provide information on existing papers related to the given NeRF idea.

3. Explain Gaussian Splatting in NeRF: Users can use this command to request an explanation of Gaussian Splatting in the context of NeRF. The App will provide a concise explanation of this technique.

4. List influential NeRF papers from CVPR: This command generates a list of influential NeRF papers specifically from CVPR (Conference on Computer Vision and Pattern Recognition). The App will provide a curated list of notable NeRF papers from CVPR.


