minimal redirecting page

Author: chenhsuanlin

README.md

@@ -2,81 +2,18 @@
     <img src="assets/nvidia-cosmos-header.png" alt="NVIDIA Cosmos Header">
 </p>
 
-Thank everybody for the feedback. We have learned your feedback and decided to simplify our code structure to make it easier to use.
-Code is this repo **will be deprecated soon**! Please move to the new codebase that is actively developed and maintained. The list of the new
+Thank you all for the valuable feedback! We have restructured the codebase to make it easier to use and contribute to.
 
-| Cosmos World Foundation Model Family|||||
-| ----------------- | ----------------- | ----------------- | ----------------- |----------------- |
-| [Cosmos-Predict1](https://github.com/nvidia-cosmos/cosmos-predict1) | World Models | [Code](https://github.com/nvidia-cosmos/cosmos-predict1) | [Models](https://huggingface.co/collections/nvidia/cosmos-predict1-67c9d1b97678dbf7669c89a7) | [Paper](https://arxiv.org/abs/2501.03575) |
-| [Cosmos-Transfer1](https://github.com/nvidia-cosmos/cosmos-transfer1) | Control Nets | [Code](https://github.com/nvidia-cosmos/cosmos-transfer1) | [Models](https://huggingface.co/collections/nvidia/cosmos-transfer1-67c9d328196453be6e568d3e) | [Paper](https://arxiv.org/abs/2503.14492) |
-| [Cosmos-Reason1](https://github.com/nvidia-cosmos/cosmos-reason1) | Reasoning Models | Coming soon  | Coming soon | [Paper](https://arxiv.org/abs/2503.15558) |
-| | | |
-
-[NVIDIA Cosmos](https://www.nvidia.com/cosmos/) is a developer-first world foundation model platform designed to help Physical AI developers build their Physical AI systems better and faster. Cosmos contains
-
-1. Pre-trained models (available via Hugging Face) under the [NVIDIA Open Model License](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/) that allows free commercial use.
-2. Pre-training, post-training, and inference code (available in native PyTorch) under the [Apache 2 License](https://www.apache.org/licenses/LICENSE-2.0).
-
-There are three main model families in Cosmos World Foundation Model Platform.
-
-1. [Cosmos Predict](https://github.com/nvidia-cosmos/cosmos-predict1): a collection of general-purpose world models for future state prediction.
-
-2. [Cosmos Transfer](https://github.com/nvidia-cosmos/cosmos-transfer1): a collection of multimodal conditional world generation model for various domain transfer applications such as Sim2Real.
-
-3. [Cosmos Reason](https://github.com/nvidia-cosmos/cosmos-reason1): a collection of Physical AI reasoning models for planning and critics.
-
-Being a minimalist, we have these individual models in individual repositories under [nvidia-github](https://github.com/nvidia-cosmos).
-
-
-### Example Model Behavior
- [Cosmos-Predict Text2World](https://github.com/nvidia-cosmos/cosmos-predict1)
-
-<video src="https://github.com/user-attachments/assets/b001966c-5f5e-4927-a3fe-44d142dd0ab1"> Your browser does not support the video tag.</video>
-
-[Cosmos-Predict Video2World](https://github.com/nvidia-cosmos/cosmos-predict1)
-
-<video src="https://github.com/user-attachments/assets/0bbba982-c6fd-4388-a46f-bf91ce4099ad"> Your browser does not support the video tag. </video>
-
-[Cosmos-Transfer LiDAR + HDMap Conditional Inputs -> World](https://github.com/nvidia-cosmos/cosmos-transfer1)
-
-<video src="https://github.com/user-attachments/assets/71faa274-a238-47c9-b2ae-5b3ea08cb643"> Your browser does not support the video tag. </video>
-
-[Cosmos-Transfer Multimodal Conditional Inputs -> World](https://github.com/nvidia-cosmos/cosmos-transfer1)
-
-<video src="https://github.com/user-attachments/assets/f04f430a-dc64-4ef8-b66a-70625edf860c"> Your browser does not support the video tag. </video>
-
-[Cosmos-Reason Physical AI Planning](https://github.com/nvidia-cosmos/cosmos-transfer1)
+<p align="center">
+    <span style="font-size: 18px;">New GitHub page for NVIDIA Cosmos: <b><a href="https://github.com/nvidia-cosmos">https://github.com/nvidia-cosmos</a></b></span>
+</p>
 
-<video src="https://github.com/user-attachments/assets/46b8088b-d8ad-46a1-b700-2ed4c8d3fc9c"> Your browser does not support the video tag. </video>
+NVIDIA Cosmos now includes three subprojects:
 
-### Cosmos Publication
+1. [Cosmos-Predict1](https://github.com/nvidia-cosmos/cosmos-predict1) is a collection of general-purpose world foundation models for Physical AI that can be fine-tuned into customized world models for downstream applications.
+2. [Cosmos-Transfer1](https://github.com/nvidia-cosmos/cosmos-transfer1) is a world-to-world transfer model designed to bridge the perceptual divide between simulated and real-world environments.
+3. [Cosmos-Reason1](https://github.com/nvidia-cosmos/cosmos-reason1) models understand the physical common sense and generate appropriate embodied decisions in natural language through long chain-of-thought reasoning processes.
 
-<table>
-  <tr>
-    <th width="40%">Paper Title</th>
-    <th width="30%">Summary</th>
-    <th width="15%">Authors</th>
-    <th width="15%">Date</th>
-  </tr>
-  <tr>
-    <td><a href="https://arxiv.org/abs/2503.15558">Cosmos-Reason1: From Physical Common Sense To Embodied Reasoning</a></td>
-    <td>Introduces a reasoning model for physical AI that combines common sense knowledge with embodied reasoning capabilities.</td>
-    <td>NVIDIA</td>
-    <td>2025-03-19</td>
-  </tr>
-  <tr>
-    <td><a href="https://arxiv.org/abs/2503.14492">Cosmos-Transfer1: Conditional World Generation with Adaptive Multimodal Control</a></td>
-    <td>Presents a multimodal model for conditional world generation with adaptive control mechanisms.</td>
-    <td>NVIDIA</td>
-    <td>2025-03-18</td>
-  </tr>
-  <tr>
-    <td><a href="https://arxiv.org/abs/2501.03575">Cosmos World Foundation Model Platform for Physical AI</a></td>
-    <td>Overview of the Cosmos platform, its architecture, and applications in physical AI systems. Introduction of Cosmos-Predict1 world models.</td>
-    <td>NVIDIA</td>
-    <td>2025-01-06</td>
-  </tr>
-</table>
+-----------------------------------------------------------
 
-### Developer
-For native PyTorch developers, we provide native PyTorch training and inference scripts in [nvidia-github](https://github.com/nvidia-cosmos). For Nemo developers, please refer to [README_CES2025.md](README_CES2025.md).
+**This repository is no longer maintained and will soon be deprecated.** To view the initial release of NVIDIA Cosmos from this repository, please check out branch `archived-ces2025`.