March 5, 2024, 2:49 p.m. | Dmitry Tochilkin, David Pankratz, Zexiang Liu, Zixuan Huang, Adam Letts, Yangguang Li, Ding Liang, Christian Laforte, Varun Jampani, Yan-Pei Cao

cs.CV updates on arXiv.org arxiv.org

arXiv:2403.02151v1 Announce Type: new
Abstract: This technical report introduces TripoSR, a 3D reconstruction model leveraging transformer architecture for fast feed-forward 3D generation, producing 3D mesh from a single image in under 0.5 seconds. Building upon the LRM network architecture, TripoSR integrates substantial improvements in data processing, model design, and training techniques. Evaluations on public datasets show that TripoSR exhibits superior performance, both quantitatively and qualitatively, compared to other open-source alternatives. Released under the MIT license, TripoSR is intended to empower …

3d object 3d reconstruction abstract architecture arxiv building cs.cv data data processing design image improvements lrm mesh model design network network architecture processing report technical training transformer transformer architecture type

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Senior Principal, Product Strategy Operations, Cloud Data Analytics

@ Google | Sunnyvale, CA, USA; Austin, TX, USA

Data Scientist - HR BU

@ ServiceNow | Hyderabad, India