The Computational Fabrication Group at the MIT Computer Science and Artificial Intelligence Laboratory investigates problems in digital manufacturing and computer graphics. The group is led by Professor Wojciech Matusik.

News

04/02/2020
Paper accepted to Physical Review Letters

The paper Physical Realization Of Elastic Cloaking With A Polar Material was recently accepted to Physical Review Letters (PRL). In this paper, Wan Shou and Beichen Li collaborated with researchers at University of Missouri and Dalian University of Technology to propose a novel elastic cloak by designing and fabricating a new class of polar materials with a distribution of body torque that exhibits asymmetric stresses. The work sets a precedent in the field of transformation elasticity and should find applications in mechanical stress shielding and stealth technologies. Check out their paper to learn more about this breakthrough in material science!

09/27/2019
Papers accepted to ICCV and NeurIPS

Dr. Petr Kellnhofer's work "Gaze360: Physically Unconstrained Gaze Estimation in the Wild" was accepted to ICCV 2019. In this paper, we present Gaze360, a large-scale gaze-tracking dataset and method for robust 3D gaze estimation in unconstrained images. Our proposed 3D gaze model extends existing models to include temporal information and to directly output an estimate of gaze uncertainty. Finally, we demonstrate an application of our model for estimating customer attention in a supermarket setting. This paper was was in collaboration with Professor Antonio Torralba's group and Toyota Research Institute.

Andrew Spielberg's paper "Learning-In-The-Loop Optimization: End-To-End Control And Co-Design of Soft Robots Through Learned Deep Latent Representations" has been accepted to NeurIPS 2019 recently. This paper tackles the problem of controlling soft robots, which is very challenging due to their infinite degrees of freedom. Our solution marries hybrid particle-grid-based simulation with deep, variational convolutional autoencoder architectures that can capture salient features of robot dynamics with high efficacy, and we demonstrate our dynamics-aware feature learning algorithm on both 2D and 3D soft robots.

08/22/2019
Dr. Changil Kim joins Facebook Research in September

Our very own Postdoctoral researcher Changil Kim is joining Facebook in Seattle as a research scientist in September, after spending two and a half wonderful years in our lab. During his time in our lab, Changil has actively contributed to many research projects, including motion magnificationreplicating oil paintingspeech to face, and video processing. Congratulations to Changil and wish him all the best in Seattle!

08/08/2019
Computer-aided knitting covered by BBC!

During the past week, Alex's two recent papers on knitting Neural Inverse Knitting: From Images to Manufacturing Instructions (ICML 19) and Knitting Skeletons: Computer-Aided Design Tool for Shaping and Patterning of Knitted Garments (UIST 19) have received lots of media attention, including a recent interview from BBC. The story is also widely reported by TechCrunch7News BostonMashableFortuneVentureBeatEngadgetZDNetGeekMarket Research FinanceInteresting EngineeringFibre2Fashion, and MIT News.

08/07/2019
Paper accepted to UIST 2019

Alex's latest work Knitting Skeletons: A Computer-Aided Design Tool for Shaping and Patterning of Knitted Garments is officially accepted to UIST 2019. In this paper, Alex and Liane present a novel interactive system for simple garment composition and surface patterning. Both casual users and advanced users can benefit from their system. Check out these beautiful samples to explore the new possibility brought by their tool!

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