Atlas3D: Physically Constrained Self-Supporting Text-to-3D for Simulation and Fabrication

Chen, Y; Xie, T; Zong, Z; Li, X; Gao, F; Yang, Y; Wu, Y N; Jiang, C

skip to main content

An official website of the United States government Here's how you know

Official websites use .gov

A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS

A lock ( lock ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

Attention:

The NSF Public Access Repository (PAR) system and access will be unavailable from 5:00 PM ET until 8:00 PM ET on Friday, September 11 due to maintenance. We apologize for the inconvenience.

Citation Details

Atlas3D: Physically Constrained Self-Supporting Text-to-3D for Simulation and Fabrication

Award ID(s):: 2015577

PAR ID:: 10561852

Author(s) / Creator(s):: Chen, Y; Xie, T; Zong, Z; Li, X; Gao, F; Yang, Y; Wu, Y N; Jiang, C

Publisher / Repository:: Advances in Neural Information Processing Systems (NeurIPS)

Date Published:: 2024-12-01

Format(s):: Medium: X

Sponsoring Org:: National Science Foundation

Free Publicly Accessible Full Text
Accepted Manuscript
Conference Proceeding:
The DOI is not currently available.

More Like this