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CVPR2023Top-tier venue

TAPS3D: Text-Guided 3D Textured Shape Generation from Pseudo Supervision

Jiacheng Wei, Hao Wang, Jiashi Feng, Guosheng Lin, Kim-Hui Yap

2023Year
10Top-tier citations

Abstract

red hatchback car" "a gray armless chair" "a wooden office table" "a black motorbike" Figure 1. Our proposed model is capable of generating detailed textured shapes based on given text prompts. We demonstrate the effectiveness of our approach by showcasing generated results for four distinct object classes: Car, Chair, Table, and Motorbike. Both the textured meshes and geometries are presented, with visualizations rendered using ChimeraX [10].

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