ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2312.02647
  4. Cited By
TPA3D: Triplane Attention for Fast Text-to-3D Generation

TPA3D: Triplane Attention for Fast Text-to-3D Generation

European Conference on Computer Vision (ECCV), 2023
5 December 2023
Hong-En Chen
Bin-Shih Wu
Sheng-Yu Huang
Yu-Chiang Frank Wang
ArXiv (abs)PDFHTML

Papers citing "TPA3D: Triplane Attention for Fast Text-to-3D Generation"

3 / 3 papers shown
Towards Scalable and Consistent 3D Editing
Towards Scalable and Consistent 3D Editing
Ruihao Xia
Yang Tang
Pan Zhou
DiffM
159
2
0
03 Oct 2025
Category-Aware 3D Object Composition with Disentangled Texture and Shape Multi-view Diffusion
Category-Aware 3D Object Composition with Disentangled Texture and Shape Multi-view Diffusion
Zeren Xiong
Zikun Chen
Zedong Zhang
Xiang Li
Ying Tai
Jian Yang
Jun Yu Li
DiffM
164
2
0
02 Sep 2025
Progressive Rendering Distillation: Adapting Stable Diffusion for Instant Text-to-Mesh Generation without 3D Data
Progressive Rendering Distillation: Adapting Stable Diffusion for Instant Text-to-Mesh Generation without 3D DataComputer Vision and Pattern Recognition (CVPR), 2025
Zhiyuan Ma
Xinyue Liang
Rongyuan Wu
Xiangyu Zhu
Zhen Lei
Lei Zhang
300
2
0
27 Mar 2025
1