From e04eb66b8a36c71f70ad64d6a8cc51fcbc7e3b1e Mon Sep 17 00:00:00 2001 From: Yifei Li Date: Sun, 16 Oct 2022 23:58:01 -0400 Subject: [PATCH] Update README.md --- README.md | 36 ++++++++++++++++++++---------------- 1 file changed, 20 insertions(+), 16 deletions(-) diff --git a/README.md b/README.md index e3ea5905..1662cb84 100644 --- a/README.md +++ b/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} }