Yifei Li

Yifei Li
Massachusetts Institute of Technology | MIT · Department of Electrical Engineering and Computer Science

PhD
CS PhD student at MIT | Computer Graphics, Differentiable Physics Simulation, Computational Fabrication and Design

About

16
Publications
2,876
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
225
Citations
Additional affiliations
August 2020 - present
Massachusetts Institute of Technology
Position
  • PhD Student
Education
September 2020 - May 2022
Massachusetts Institute of Technology
Field of study
  • Computer Science
September 2020 - May 2026
Massachusetts Institute of Technology
Field of study
  • Computer Science
August 2016 - May 2020
Carnegie Mellon University
Field of study
  • Computer Science

Publications

Publications (16)
Preprint
Full-text available
Cloth simulation has wide applications including computer animation, garment design, and robot-assisted dressing. In this work, we present a differentiable cloth simulator whose additional gradient information facilitates cloth-related applications. Our differentiable simulator extends the state-of-the-art cloth simulator based on Projective Dynami...
Conference Paper
Full-text available
Fluidic devices are crucial components in many industrial applications involving fluid mechanics. Computational design of a high-performance fluidic system faces multifaceted challenges regarding its geometric representation and physical accuracy. We present a novel topology optimization method to design fluidic devices in a Stokes flow context. Ou...
Conference Paper
Full-text available
Free-motion quilting patterns are functional and decorative patterns sewn on pieced quilts using a single-line continuous stitch path for each region of the quilt. Seven families of quilting patterns are commonly used by quilters [3]. We present an approach for computationally generating three of these families. The user can control the design for...
Preprint
Full-text available
We present a novel framework to explore neural control and design of complex fluidic systems with dynamic solid boundaries. Our system features a fast differentiable Navier-Stokes solver with solid-fluid interface handling, a low-dimensional differentiable parametric geometry representation, a control-shape co-design algorithm, and gym-like simulat...
Preprint
Full-text available
The advancement of Large Language Models (LLMs), including GPT-4, provides exciting new opportunities for generative design. We investigate the application of this tool across the entire design and manufacturing workflow. Specifically, we scrutinize the utility of LLMs in tasks such as: converting a text-based prompt into a design specification, tr...
Article
Full-text available
Children’s drawings have a wonderful inventiveness, creativity, and variety to them. We present a system that automatically animates children’s drawings of the human figure, is robust to the variance inherent in these depictions, and is simple and straightforward enough for anyone to use. We demonstrate the value and broad appeal of our approach by...
Preprint
Children's drawings have a wonderful inventiveness, creativity, and variety to them. We present a system that automatically animates children's drawings of the human figure, is robust to the variance inherent in these depictions, and is simple and straightforward enough for anyone to use. We demonstrate the value and broad appeal of our approach by...
Preprint
Full-text available
Fluidic devices are crucial components in many industrial applications involving fluid mechanics. Computational design of a high-performance fluidic system faces multifaceted challenges regarding its geometric representation and physical accuracy. We present a novel topology optimization method to design fluidic devices in a Stokes flow context. Ou...
Article
Full-text available
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 wit...
Preprint
Full-text available
Physical products are often complex assemblies combining a multitude of 3D parts modeled in computer-aided design (CAD) software. CAD designers build up these assemblies by aligning individual parts to one another using constraints called joints. In this paper we introduce JoinABLe, a learning-based method that assembles parts together to form join...

Network

Cited By