Update README.md

README.md

@@ -4,29 +4,30 @@ pipeline_tag: image-to-video
 library_name: diffusers
 ---
 
-<p align="center">
-  <h1 align="center">TesserAct: Learning 4D Embodied World Models</h1>
+<br/>
+  <h1 align="center" style="font-size: 1.7rem">MindJourney: Test-Time Scaling with World Models for Spatial Reasoning</h1>
   <p align="center">
-    <a href="https://haoyuzhen.com">Haoyu Zhen*</a>,
-    <a href="https://qiaosun22.github.io/">Qiao Sun*</a>,
-    <a href="https://icefoxzhx.github.io/">Hongxin Zhang</a>,
-    <a href="https://senfu.github.io/">Junyan Li</a>,
+  NeurIPS 2025
+  </p>
+  <p align="center">
+    <a href="https://yyuncong.github.io/">Yuncong Yang</a>,
+    <a href="https://jiagengliu02.github.io/">Jiageng Liu</a>,
+    <a href="https://cozheyuanzhangde.github.io/">Zheyuan Zhang</a>,
     <a href="https://rainbow979.github.io/">Siyuan Zhou</a>,
+    <a href="https://cs-people.bu.edu/rxtan/">Reuben Tan</a>,
+    <a href="https://jwyang.github.io/">Jianwei Yang</a>,
     <a href="https://yilundu.github.io/">Yilun Du</a>,
     <a href="https://people.csail.mit.edu/ganchuang">Chuang Gan</a>
   </p>
-</p>
-
-<p align="center">
-  <a href="https://arxiv.org/abs/2504.20995">Paper PDF</a>
-  &nbsp;|&nbsp;
-  <a href="https://tesseractworld.github.io">Project Page</a>
-  &nbsp;|&nbsp;
-  <a href="https://huggingface.co/anyeZHY/tesseract">Model on Hugging Face</a>
-  &nbsp;|&nbsp;
-  <a href="https://github.com/UMass-Embodied-AGI/TesserAct">Code</a>
+  <p align="center">
+    <a href="https://arxiv.org/abs/2507.12508">
+      <img src='https://img.shields.io/badge/Paper-PDF-red?style=flat&logo=arXiv&logoColor=red' alt='Paper PDF'>
+    </a>
+    <a href='https://umass-embodied-agi.github.io/MindJourney/' style='padding-left: 0.5rem;'>
+      <img src='https://img.shields.io/badge/Project-Page-blue?style=flat&logo=Google%20chrome&logoColor=blue' alt='Project Page'>
+    </a>
+  </p>
 </p>
 
 
-We propose TesserAct, the 4D Embodied World Model, which takes input images and text instruction to generate RGB, depth,
-and normal videos, reconstructing a 4D scene and predicting actions.
+MindJourney is a test-time scaling framework that leverages the 3D imagination capability of World Models to strengthen spatial reasoning in Vision-Language Models (VLMs). We evaluate on the SAT dataset and provide a baseline pipeline, a Stable Virtual Camera (SVC) based spatial beam search pipeline, and a Search World Model (SWM) based spatial beam search pipeline.