Update README.md

README.md

@@ -65,20 +65,24 @@ Simulations are saved to `output/` directory of the root folder.
 Feel free to contact me or creating a Github issue if you have questions regarding setting up the repository, running examples or setting up new examples. 
 
 ### Citation
-Please consider citing our research if your find our research helpful:
-
-    @article{li2022diffcloth,
-        author = {Li, Yifei and Du, Tao and Wu, Kui and Xu, Jie and Matusik, Wojciech},
-        title = {DiffCloth: Differentiable Cloth Simulation with Dry Frictional Contact},
-        year = {2022},
-        publisher = {Association for Computing Machinery},
-        address = {New York, NY, USA},
-        issn = {0730-0301},
-        url = {https://doi.org/10.1145/3527660},
-        doi = {10.1145/3527660},
-        abstract = {Cloth simulation has wide applications in computer animation, garment design, and robot-assisted dressing. This work presents a differentiable cloth simulator whose additional gradient information facilitates cloth-related applications. Our differentiable simulator extends a state-of-the-art cloth simulator based on Projective Dynamics (PD) and with dry frictional contact [Ly et al. 2020]},
-        note = {Just Accepted},
-        journal = {ACM Trans. Graph.},
-        month = {mar},
-        keywords = {cloth simulation, differentiable simulation, Projective Dynamics}
+Please consider citing our paper if your find our research helpful:
+
+    @article{Li2022diffcloth,
+    author = {Li, Yifei and Du, Tao and Wu, Kui and Xu, Jie and Matusik, Wojciech},
+    title = {DiffCloth: Differentiable Cloth Simulation with Dry Frictional Contact},
+    year = {2022},
+    issue_date = {February 2023},
+    publisher = {Association for Computing Machinery},
+    address = {New York, NY, USA},
+    volume = {42},
+    number = {1},
+    issn = {0730-0301},
+    url = {https://doi.org/10.1145/3527660},
+    doi = {10.1145/3527660},
+    abstract = {Cloth simulation has wide applications in computer animation, garment design, and robot-assisted dressing. This work presents a differentiable cloth simulator whose additional gradient information facilitates cloth-related applications. Our differentiable simulator extends a state-of-the-art cloth simulator based on Projective Dynamics (PD) and with dry frictional contact [Ly et al. 2020]. We draw inspiration from previous work [Du et al. 2021] to propose a fast and novel method for deriving gradients in PD-based cloth simulation with dry frictional contact. Furthermore, we conduct a comprehensive analysis and evaluation of the usefulness of gradients in contact-rich cloth simulation. Finally, we demonstrate the efficacy of our simulator in a number of downstream applications, including system identification, trajectory optimization for assisted dressing, closed-loop control, inverse design, and real-to-sim transfer. We observe a substantial speedup obtained from using our gradient information in solving most of these applications.},
+    journal = {ACM Trans. Graph.},
+    month = {oct},
+    articleno = {2},
+    numpages = {20},
+    keywords = {differentiable simulation, cloth simulation, Projective Dynamics}
     }