Merge branch 'master' of https://github.com/cre185/InstantSfM

Author: cre185

README.md

@@ -1,5 +1,35 @@
-# InstantSfM
-InstantSfM is a novel global SfM system completed in CUDA/Triton and PyTorch.  
+<div align="center">
+
+# InstantSfM: Fully Sparse and Parallel Structure-from-Motion
+
+
+<p align="center">  
+    <a href="https://cre185.github.io/pyglomap/">Jiankun Zhong</a><sup>1,3</sup>,
+    <a href="https://sairlab.org/zitongz/">Zitong Zhan</a><sup>2</sup>,
+    <a href="https://zerg-overmind.github.io/">Quankai Gao</a><sup>1</sup>,
+    <a href="https://ziyc.github.io/">Ziyu Chen</a><sup>1</sup>,
+    <a href="https://scholar.google.com/citations?user=BIPK9KEAAAAJ&hl=zh-TW">Haozhe Lou</a><sup>1</sup>,
+    <a href="https://pointscoder.github.io/">Jiageng Mao</a><sup>1</sup>,
+    <a href="https://scholar.google.com/citations?user=MHet2VoAAAAJ&hl=en">Ulrich Neumann</a><sup>1</sup>,
+    <a href="https://yuewang.xyz/">Yue Wang</a><sup>1</sup>
+    <br>
+    <sup>1</sup>University of Southern California <sup>2</sup>University at Buffalo <sup>3</sup>Tsinghua University
+</p>
+
+</div>
+
+<div align="center">
+    <a href="https://cre185.github.io/pyglomap/"><strong>Project Page</strong></a> |
+    <a href="https://cre185.github.io/pyglomap/"><strong>Paper</strong></a> 
+</div>
+
+<br>
+
+<div align="center">
+
+</div>
+InstantSfM is a novel global SfM system completed in CUDA/Triton and PyTorch. 
+
 
 ## 1. Installation  
 **Note: The project requires an NVIDIA GPU with CUDA support. The code is tested on Ubuntu 20.04 with CUDA 12.1 and PyTorch 2.3.1.**