no code implementations • 19 Feb 2024 • Zhixuan Yu, Ziqian Bai, Abhimitra Meka, Feitong Tan, Qiangeng Xu, Rohit Pandey, Sean Fanello, Hyun Soo Park, yinda zhang
Traditional methods for constructing high-quality, personalized head avatars from monocular videos demand extensive face captures and training time, posing a significant challenge for scalability.
no code implementations • CVPR 2023 • Ziqian Bai, Feitong Tan, Zeng Huang, Kripasindhu Sarkar, Danhang Tang, Di Qiu, Abhimitra Meka, Ruofei Du, Mingsong Dou, Sergio Orts-Escolano, Rohit Pandey, Ping Tan, Thabo Beeler, Sean Fanello, yinda zhang
The learnt avatar is driven by a parametric face model to achieve user-controlled facial expressions and head poses.
1 code implementation • 25 Mar 2022 • Ziqian Bai, Timur Bagautdinov, Javier Romero, Michael Zollhöfer, Ping Tan, Shunsuke Saito
In this work, for the first time, we enable autoregressive modeling of implicit avatars.
1 code implementation • CVPR 2021 • Ziqian Bai, Zhaopeng Cui, Xiaoming Liu, Ping Tan
This paper presents a method for riggable 3D face reconstruction from monocular images, which jointly estimates a personalized face rig and per-image parameters including expressions, poses, and illuminations.
1 code implementation • CVPR 2020 • Ziqian Bai, Zhaopeng Cui, Jamal Ahmed Rahim, Xiaoming Liu, Ping Tan
We facilitate it with a CNN network that learns to regularize the non-rigid 3D face according to the input image and preliminary optimization results.
no code implementations • 4 Mar 2019 • Sanghamitra Dutta, Ziqian Bai, Tze Meng Low, Pulkit Grover
This work proposes the first strategy to make distributed training of neural networks resilient to computing errors, a problem that has remained unsolved despite being first posed in 1956 by von Neumann.
no code implementations • 27 Nov 2018 • Sanghamitra Dutta, Ziqian Bai, Haewon Jeong, Tze Meng Low, Pulkit Grover
First, we propose a novel coded matrix multiplication technique called Generalized PolyDot codes that advances on existing methods for coded matrix multiplication under storage and communication constraints.