Search Results for author: Yilin Zhu

Found 7 papers, 1 papers with code

Democratizing the Creation of Animatable Facial Avatars

no code implementations29 Jan 2024 Yilin Zhu, Dalton Omens, Haodi He, Ron Fedkiw

In high-end visual effects pipelines, a customized (and expensive) light stage system is (typically) used to scan an actor in order to acquire both geometry and texture for various expressions.

Phage family classification under Caudoviricetes: a review of current tools using the latest ICTV classification framework

no code implementations5 Sep 2022 Yilin Zhu, Jiayu Shang, Cheng Peng, Yanni Sun

Therefore, a comprehensive review and comparison of taxonomic classification tools under the new standard are needed to establish the state-of-the-art.


Leveraging Deepfakes to Close the Domain Gap between Real and Synthetic Images in Facial Capture Pipelines

no code implementations22 Apr 2022 Winnie Lin, Yilin Zhu, Demi Guo, Ron Fedkiw

We propose an end-to-end pipeline for both building and tracking 3D facial models from personalized in-the-wild (cellphone, webcam, youtube clips, etc.)

Face Swapping Retrieval

Self-Supervised Learning of State Estimation for Manipulating Deformable Linear Objects

no code implementations14 Nov 2019 Mengyuan Yan, Yilin Zhu, Ning Jin, Jeannette Bohg

Challenges in taking the state-space approach are the estimation of the high-dimensional state of a deformable object from raw images, where annotations are very expensive on real data, and finding a dynamics model that is both accurate, generalizable, and efficient to compute.

Robot Manipulation Self-Supervised Learning

Three Dimensional Reconstruction of Botanical Trees with Simulatable Geometry

no code implementations20 Dec 2018 Ed Quigley, Winnie Lin, Yilin Zhu, Ronald Fedkiw

We tackle the challenging problem of creating full and accurate three dimensional reconstructions of botanical trees with the topological and geometric accuracy required for subsequent physical simulation, e. g. in response to wind forces.

A Pixel-Based Framework for Data-Driven Clothing

no code implementations3 Dec 2018 Ning Jin, Yilin Zhu, Zhenglin Geng, Ronald Fedkiw

With the aim of creating virtual cloth deformations more similar to real world clothing, we propose a new computational framework that recasts three dimensional cloth deformation as an RGB image in a two dimensional pattern space.

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