Deep3DSketch: 3D Modeling from Free-Hand Sketches with View- and Structural-Aware Adversarial Training

Author:

Chen Tianrun1,Fu Chenglong2,Zhu Lanyun3,Mao Papa4,Zhang Jia4,Zang Ying2,Sun Lingyun1

Affiliation:

1. Zhejiang University,College of Computer Science and Technology,Hangzhou,P.R. China

2. Huzhou University,School of Information Engineering,Huzhou,P.R. China

3. Singapore University of Technology and Design,Information Systems Technology and Design Pillar,Singapore

4. Moxin (Huzhou) Tech. Co., LTD,Mafu Laboratory,Huzhou,P.R. China

Publisher

IEEE

Reference22 articles.

1. Robust 3D modeling from silhouette cues

2. Structure-aware 3d shape synthesis from single-view images;hu;BMVC,2018

3. Progressive growing of gans for improved quality, stability, and variation;karras,2017

4. Soft Rasterizer: A Differentiable Renderer for Image-Based 3D Reasoning

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1. 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

2. From sketch to reality: precision-friendly 3D generation technology;The Visual Computer;2024-05-16

3. SGM: A Dataset for 3D Garment Reconstruction from Single Hand-Drawn Sketch;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

4. Detection of fresh tidiness in supermarket: a deep learning based approach;Multimedia Tools and Applications;2024-02-28

5. Deep3DSketch-im: rapid high-fidelity AI 3D model generation by single freehand sketches;Frontiers of Information Technology & Electronic Engineering;2024-01

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