TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models

Author:

Cao Tianshi1,Kreis Karsten1,Fidler Sanja1,Sharp Nicholas1,Yin Kangxue1

Affiliation:

1. NVIDIA

Publisher

IEEE

Reference101 articles.

1. Learning representations and generative models for 3D point clouds;Achlioptas;ICML,2018

2. ediff-i: Text-to-image diffusion models with ensemble of expert denoisers;Balaji,2022

3. Multidiffusion: Fusing diffusion paths for controlled image generation;Bar-Tal,2023

4. Gaudi: A neural architect for immersive 3d scene generation;Bautista,2022

5. A survey on generative diffusion model;Cao,2022

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1. Creating High-quality 3D Content by Bridging the Gap Between Text-to-2D and Text-to-3D Generation;ACM Transactions on Multimedia Computing, Communications, and Applications;2024-08-28

2. EASI-Tex: Edge-Aware Mesh Texturing from Single Image;ACM Transactions on Graphics;2024-07-19

3. High-Fidelity 3D Model Generation with Relightable Appearance from Single Freehand Sketches and Text Guidance;2024 IEEE International Conference on Multimedia and Expo Workshops (ICMEW);2024-07-15

4. MaPa: Text-driven Photorealistic Material Painting for 3D Shapes;Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers '24;2024-07-13

5. Spice·E: Structural Priors in 3D Diffusion using Cross-Entity Attention;Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers '24;2024-07-13

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