Visual Effects
-- Using nerfies you can create fun visual effects. This Dolly zoom effect - would be impossible without nerfies since it would require going through a wall. -
-diff --git a/.DS_Store b/.DS_Store new file mode 100644 index 0000000000000000000000000000000000000000..fe8e8b53053b3368889d362d72db131a8e2b56d3 Binary files /dev/null and b/.DS_Store differ diff --git a/.gitattributes b/.gitattributes index e5b5961d385b4642f81fdd06cfdadc25d2293d30..76a8f0e1afca6b0f29b1cfe363a4eda4cedc8314 100644 --- a/.gitattributes +++ b/.gitattributes @@ -46,3 +46,4 @@ static/videos/shiba.mp4 filter=lfs diff=lfs merge=lfs -text static/videos/steve.mp4 filter=lfs diff=lfs merge=lfs -text static/videos/teaser.mp4 filter=lfs diff=lfs merge=lfs -text static/videos/toby.mp4 filter=lfs diff=lfs merge=lfs -text +*.mp4 filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md index ac6394cc6150c25b3a16ec87fb6515e2e8894b26..8d20781184b89dc5332ae9955187fe4703b01c7f 100644 --- a/README.md +++ b/README.md @@ -9,17 +9,17 @@ license: apache-2.0 short_description: Connecting Humans and Agents --- -# Nerfies +# iAgents -This is the repository that contains source code for the [Nerfies website](https://nerfies.github.io). +This is the repository that contains source code for the [iAgents website](https://huggingface.co/spaces/thinkwee/iAgents). -If you find Nerfies useful for your work please cite: +If you find iAgents useful for your work please cite: ``` -@article{park2021nerfies - author = {Park, Keunhong and Sinha, Utkarsh and Barron, Jonathan T. and Bouaziz, Sofien and Goldman, Dan B and Seitz, Steven M. and Martin-Brualla, Ricardo}, - title = {Nerfies: Deformable Neural Radiance Fields}, - journal = {ICCV}, - year = {2021}, +@article{liu2024autonomous, + title={Autonomous Agents for Collaborative Task under Information Asymmetry}, + author={Liu, Wei and Wang, Chenxi and Wang, Yifei and Xie, Zihao and Qiu, Rennai and Dang, Yufan and Du, Zhuoyun and Chen, Weize and Yang, Cheng and Qian, Chen}, + journal={arXiv preprint arXiv:2406.14928}, + year={2024} } ``` diff --git a/index.html b/index.html index 88951116f7ed81764f0d75616b9f4c60892b9a30..d4e85bffd4c4ebf53ba1e4b008993fc228fea080 100644 --- a/index.html +++ b/index.html @@ -3,10 +3,10 @@
- + content="iAgents is a platform for assigning each human user a persona agent and enabling them to collaborate on tasks."> + -- We present the first method capable of photorealistically reconstructing a non-rigidly - deforming scene using photos/videos captured casually from mobile phones. + iAgents is a platform designed to create a world weaved by humans and agents, where each human has a personal agent that can work on their behalf to cooperate with other humans' agents. It is a new paradigm for Large Language Model-powered Multi-Agent Systems. iAgents proactively interact with human users to exchange information, while autonomously communicating with other agents to eliminate information asymmetry and collaborate effectively to accomplish tasks (see our paper).
- Our approach augments neural radiance fields - (NeRF) by optimizing an - additional continuous volumetric deformation field that warps each observed point into a - canonical 5D NeRF. - We observe that these NeRF-like deformation fields are prone to local minima, and - propose a coarse-to-fine optimization method for coordinate-based models that allows for - more robust optimization. - By adapting principles from geometry processing and physical simulation to NeRF-like - models, we propose an elastic regularization of the deformation field that further - improves robustness. + iAgents features an instant messaging web UI that users can utilize as a conventional chat application, with each user automatically equipped with a personal agent. Messages beginning with '@' are automatically transformed into collaborative task commands, prompting the agents of both chat participants to engage and resolve the task through autonomous communication.
- We show that Nerfies can turn casually captured selfie - photos/videos into deformable NeRF - models that allow for photorealistic renderings of the subject from arbitrary - viewpoints, which we dub "nerfies". We evaluate our method by collecting data - using a - rig with two mobile phones that take time-synchronized photos, yielding train/validation - images of the same pose at different viewpoints. We show that our method faithfully - reconstructs non-rigidly deforming scenes and reproduces unseen views with high - fidelity. + iAgents also features agent cultivation. You can cultivate your agent by clicking on the Agent Admin Panel button and talking with your Agent. You can also use your human feedback data to automatically optimize it. The agent profile will be improved during the cultivation. iAgents intergrates many AI tools such as Jina Reader, LLama Index, for better organizing your information. It supports various of LLM backends including OpenAI, Gemini, Qwen, Deepseek and GLM.
- Using nerfies you can create fun visual effects. This Dolly zoom effect - would be impossible without nerfies since it would require going through a wall. -
-- As a byproduct of our method, we can also solve the matting problem by ignoring - samples that fall outside of a bounding box during rendering. -
-- We can also animate the scene by interpolating the deformation latent codes of two input - frames. Use the slider here to linearly interpolate between the left frame and the right - frame. -
-Start Frame
-End Frame
- Using Nerfies, you can re-render a video from a novel - viewpoint such as a stabilized camera by playing back the training deformations. -
-- There's a lot of excellent work that was introduced around the same time as ours. -
-- Progressive Encoding for Neural Optimization introduces an idea similar to our windowed position encoding for coarse-to-fine optimization. -
-- D-NeRF and NR-NeRF - both use deformation fields to model non-rigid scenes. -
-- Some works model videos with a NeRF by directly modulating the density, such as Video-NeRF, NSFF, and DyNeRF -
-- There are probably many more by the time you are reading this. Check out Frank Dellart's survey on recent NeRF papers, and Yen-Chen Lin's curated list of NeRF papers. -
-@article{park2021nerfies,
- author = {Park, Keunhong and Sinha, Utkarsh and Barron, Jonathan T. and Bouaziz, Sofien and Goldman, Dan B and Seitz, Steven M. and Martin-Brualla, Ricardo},
- title = {Nerfies: Deformable Neural Radiance Fields},
- journal = {ICCV},
- year = {2021},
+ @article{liu2024iagents,
+ author = {Liu, Wei and Wang, Chenxi and Wang, Yifei and Xie, Zihao and Qiu, Rennai and Dang, Yufan and Du, Zhuoyun and Chen, Weize and Yang, Cheng and Qian, Chen},
+ title = {iAgents: Autonomous Agents for Collaborative Task under Information Asymmetry},
+ journal = {arXiv},
+ year = {2024},
}